WO2014128773A1 - ジェスチャ登録装置、ジェスチャ登録プログラムおよびジェスチャ登録方法 - Google Patents
ジェスチャ登録装置、ジェスチャ登録プログラムおよびジェスチャ登録方法 Download PDFInfo
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- WO2014128773A1 WO2014128773A1 PCT/JP2013/002524 JP2013002524W WO2014128773A1 WO 2014128773 A1 WO2014128773 A1 WO 2014128773A1 JP 2013002524 W JP2013002524 W JP 2013002524W WO 2014128773 A1 WO2014128773 A1 WO 2014128773A1
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Definitions
- the present invention relates to a gesture registration device, a gesture registration program, and a gesture registration method.
- Patent Document 1 is a step of detecting and converting the orientation in which the input device is currently operated and transitions between a plurality of orientations of the input device.
- the input device comprises a handheld housing including a processor, and automatically controlling selection of one input mode from a plurality of input modes in response to orientation and transition; Controlling a three-space object coupled to the gesture control system according to the input mode.
- the detection in the method is optical tracking and that the method comprises tracking at least one tag connected to the input device.
- At least two, for example, four, six, or eight cameras are used to track any one or more parts of the user's body.
- the camera used is a so-called motion capture camera, which directly detects a marker attached to an object or the like.
- an object of the present invention is to provide a gesture registration device, a gesture registration program, and a gesture registration method that can quickly and easily acquire and stock gesture data.
- a gesture registration device includes an outer shape detection unit, an analysis unit, and a recording unit.
- the outer shape detection unit detects the outer shape of a target having a predetermined form.
- the analysis unit performs at least analysis of the external feature portion and analysis of a value of at least one of the position and direction of the external feature portion from the detected external shape of the target.
- the recording unit records the result of the analysis unit as gesture data.
- predetermined gesture data can be recorded in accordance with a user's gesture and used for an operation of an application. This is particularly effective when the types of gestures that the user can express are limited due to the physical characteristics of the user.
- the gesture registration device may further include a deletion unit.
- the deletion unit deletes the gesture data from the recording unit.
- the gesture registration device may further include an association unit.
- the associating unit causes the recording unit to record gesture data representing a predetermined form in association with a predetermined operation.
- the gesture registration device may further include a release unit.
- the canceling unit cancels the association between the gesture data representing the predetermined form and the predetermined operation.
- the outer shape detection unit may detect the outer shape of a series of objects accompanied with a change with time, and the analysis unit may further analyze the change with time of the outer feature.
- the outer shape detection unit may detect the target outer shape a plurality of times. Thereby, since a plurality of outline data can be acquired for a predetermined form, it is possible to register the gesture data in a more easily recognized manner.
- the subject may be a part of a human body including at least one of a finger, a palm, a hand, an arm, and an elbow. This makes it possible to easily register a gesture that uses a part of the human body. Therefore, for example, a gesture can be registered according to the physical characteristics of the user.
- the outer shape detection unit may be a moving image photographing device, and may detect a series of outer shapes by continuously capturing an object of a predetermined form for a predetermined time.
- a gesture of a stationary sign that basically does not involve movement that is, the movement of the movement is not intended
- the outer shape detection unit may be a still image capturing device, and may detect a plurality of outer shapes by imaging a target in a predetermined form a plurality of times.
- a gesture of a stationary sign that basically does not involve movement that is, the movement of the movement is not intended
- the external feature may be at least one of the number, position, angle, and arm angle of a predetermined form of fingers. Thereby, the gesture data can be registered more accurately.
- a head mounted display device includes a gesture registration device according to one aspect.
- a gesture registration program includes an outer shape detection process, an analysis process, and a recording process.
- the outer shape detection process the outer shape of a target having a predetermined form is detected.
- the analysis process at least the outline feature portion and at least one value of the position and direction of the outline feature portion are analyzed from the detected outline of the target.
- the recording process the result of the analysis process is recorded as gesture data.
- the gesture registration program may further include a deletion process.
- the deletion process the gesture data is deleted.
- the gesture registration program may further include an association process.
- association process gesture data representing a predetermined form is recorded in association with a predetermined operation.
- the gesture registration program may further include a cancellation process. In the release process, the association between the gesture data representing the predetermined form and the predetermined operation is canceled.
- the outer shape detection process may be a moving image shooting process, and a series of outer shapes may be detected by continuously capturing a target in a predetermined form for a predetermined time.
- a gesture of a stationary sign that basically does not involve movement that is, the movement of the movement is not intended
- the outer shape detection process may be a still image shooting process, and a plurality of outer shapes may be detected by imaging a target in a predetermined form a plurality of times.
- a gesture of a stationary sign that basically does not involve movement that is, the movement of the movement is not intended
- a gesture registration method includes an outer shape detection step, an analysis step, and a recording step.
- the outer shape detection step the outer shape of a target having a predetermined form is detected.
- the analysis step at least analysis of the external feature and analysis of the value of at least one of the position and direction of the external feature are performed from the detected external shape of the target.
- the recording process the result of the analysis process is recorded as gesture data.
- the gesture registration method may further include a deletion step.
- the deletion step the gesture data is deleted.
- the gesture registration method may further include an association step.
- association step gesture data representing a predetermined form is recorded in association with a predetermined operation.
- the gesture registration method may further include a release step.
- the releasing step the association between the gesture data representing the predetermined form and the predetermined operation is canceled.
- the outer shape detection step may be a moving image photographing step, and a series of outer shapes may be detected by continuously imaging a predetermined form of target for a predetermined time.
- a gesture of a stationary sign that basically does not involve movement that is, the movement of the movement is not intended
- the outer shape detection step may be a still image shooting step, and a plurality of outer shapes may be detected by imaging a target in a predetermined form a plurality of times.
- a gesture of a stationary sign that basically does not involve movement that is, the movement of the movement is not intended
- a gesture registration device it is possible to provide a gesture registration device, a gesture registration program, and a gesture registration method that enable a user to quickly and easily acquire and stock gesture data.
- FIG. 1 is a schematic external perspective view showing an example of an eyeglass display device 100.
- FIG. 3 is a schematic diagram illustrating an example of a configuration of a control unit 450 of the operation system 400.
- FIG. 4 is a flowchart showing a flow of processing in the operation system 400. It is a schematic diagram which shows the concept according to the flowchart of FIG. 4 is a schematic perspective view for explaining a detection area of an infrared detection unit 410 and a virtual display area of a pair of transflective displays 220.
- FIG. FIG. 7 is a top view of FIG. 6.
- FIG. 7 is a side view of FIG. 6.
- FIG. 4 is a schematic diagram illustrating an example of display on a transflective display 220 of the eyeglass display device 100.
- FIG. It is a schematic diagram which shows an example (a) of the visual field of the transflective display 220, and an example (b) of a display of the translucent display 220.
- production It is a schematic diagram which shows an example of operation of a spectacles display apparatus. It is a schematic diagram which shows another example of operation of a spectacles display apparatus. It is a schematic diagram which shows an example of gesture recognition. It is a schematic diagram which shows the other example of gesture recognition. It is a schematic diagram which shows the other example of gesture recognition. It is a schematic diagram which shows the other example of gesture recognition. It is a schematic diagram which shows the other example of gesture recognition. It is a schematic diagram which shows the other example of gesture recognition. It is a schematic diagram which shows the other example of gesture recognition. It is a schematic diagram which shows the other example of gesture recognition. It is a schematic diagram which shows the other example of gesture recognition. It is a schematic diagram which shows the other example of gesture recognition. It is a schematic diagram which shows the other example of gesture recognition. It is a schematic diagram which shows the other example of gesture recognition.
- the present invention is not limited to the eyeglass display device described below, but can be applied to other input / output devices, display devices, televisions, monitors, projectors, and the like.
- FIG. 1 is a schematic external front view showing an example of the basic configuration of a spectacle display device 100 according to an embodiment
- FIG. 2 is a schematic external perspective view showing an example of the spectacle display device 100.
- the glasses display device 100 is a glasses-type display device. As will be described later, the eyeglass display device 100 is used by being worn on the user's face.
- the eyeglass display device 100 mainly includes an eyeglass unit 200, a communication system 300, and an operation system 400.
- the spectacle unit 200 includes a spectacle frame 210 and a pair of transflective displays 220.
- the spectacle frame 210 mainly includes a rim unit 211 and a temple unit 212.
- a pair of transflective displays 220 is supported by the rim unit 211 of the spectacle frame 210.
- the pair of transflective displays 220 is provided on the rim unit 211 in the spectacle display device 100, but the present invention is not limited to this, and a normal sunglasses lens is provided on the rim unit 211 of the spectacle display device 100.
- lenses such as an ultraviolet cut lens or a spectacle lens may be provided, and a single transflective display 220 or a pair of transflective displays 220 may be provided separately. Further, the transflective display 220 may be embedded in a part of the lenses.
- the present embodiment is not limited to the eyeglass type, and can be used for a hat type or any other head mounted display device as long as it is a type that can be worn on the human body and disposed in the field of view of the wearer. .
- the communication system 300 includes a battery unit 301, an antenna module 302, a camera unit 303, a speaker unit 304, a GPS (Global Positioning System) unit 307, a microphone unit 308, a SIM (Subscriber Identity Module Card) unit 309, and a main unit 310.
- the camera unit may be provided with a CCD sensor.
- the speaker unit 304 may be a normal earphone or a bone conduction earphone.
- the SIM unit 309 includes an NFC (Near Field Communication) unit and other contact IC card units, and a non-contact IC card unit.
- the communication system 300 includes at least one of the functions of a mobile phone, a smartphone, and a tablet terminal. Specifically, it includes a telephone function, an Internet function, a browser function, a mail function, an imaging function, and the like. Therefore, the user can use a call function similar to that of a mobile phone by using the eyeglass display device 100 with the communication device, the speaker, and the microphone. Further, since it is a glasses type, it is possible to make a call without using both hands.
- the operation system 400 includes an infrared detection unit 410, a gyro sensor unit 420, an acceleration detection unit 430, and a control unit 450.
- the infrared detection unit 410 mainly includes an infrared irradiation element 411 and an infrared detection camera 412.
- FIG. 3 is a schematic diagram illustrating an example of the configuration of the control unit 450 of the operation system 400.
- the control unit 450 includes an image sensor calculation unit 451, a depth map calculation unit 452, an image processing unit 453, an anatomical recognition unit 454, a gesture data recording unit 455, a gesture identification unit 456, calibration data. It includes a recording unit 457, a composite arithmetic unit 458, an application software unit 459, an event service unit 460, a calibration service unit 461, a display service unit 462, a graphic arithmetic unit 463, a display arithmetic unit 464, and a six-axis drive driver unit 465.
- control unit 450 need not include all of the above, and may include one or more units as necessary.
- the gesture data recording unit 455 and the calibration data recording unit 457 may be arranged on the cloud, and the synthesis operation unit 458 may not be provided.
- FIG. 4 is a flowchart showing a flow of processing in the operation system 400
- FIG. 5 is a schematic diagram showing a concept corresponding to the flowchart of FIG.
- the target data is acquired from the infrared detection unit 410, and the depth calculation is performed by the depth map calculation unit 452 (step S1.
- the outer shape image data is processed by the image processing unit 453. (Step S2).
- the anatomical recognition unit 454 identifies anatomical features from the outline image data processed in step S2 based on the standard human body structure. Thereby, the outer shape is recognized (step S3).
- the gesture identification unit 456 identifies the gesture based on the anatomical features obtained in step S3 (step S4).
- the gesture identification unit 456 refers to the gesture data recorded in the gesture data recording unit 455 and identifies the gesture from the outer shape where the anatomical features are identified.
- the gesture identification unit 456 refers to the gesture data from the gesture data recording unit 455.
- the gesture identification unit 456 is not limited to referencing, and may refer to other arbitrary data without referring to it at all. It may be processed. As described above, the hand gesture is recognized as shown in FIG.
- the application software unit 459 and the event service unit 460 perform a predetermined event according to the gesture determined by the gesture identification unit 456 (step S5).
- the image by a photography application for example is displayed.
- the image data from the camera unit 303 may be displayed on the screen.
- the display service unit 462, the calibration service unit 461, the graphic operation unit 463, the display operation unit 464, and the composition operation unit 458 display an image on the translucent display 220 or a virtual display of the image (step).
- S6 As a result, a hand skeleton indicating a gesture is displayed as shown in FIG. 5C, and as shown in FIG. 5D, the shape and size of the photograph are changed to the shape and size of the skeleton. An image synthesized to match is displayed.
- the 6-axis drive driver unit 465 always detects signals from the gyro sensor unit 420 and the acceleration detection unit 430, and transmits the posture state to the display arithmetic unit 464.
- the 6-axis drive driver unit 465 When the user wearing the glasses display device 100 tilts the glasses display device 100, the 6-axis drive driver unit 465 always receives signals from the gyro sensor unit 420 and the acceleration detection unit 430, and displays an image. Take control. In this control, the display of the image may be kept horizontal, or the display of the image may be adjusted according to the inclination.
- FIG. 6 is a schematic perspective view for explaining a detection region of the infrared detection unit 410 and a virtual display region of the pair of transflective displays 220
- FIG. 7 is a top view of FIG. 6
- FIG. FIG. 7 is a side view of FIG. 6.
- a three-dimensional orthogonal coordinate system including an x-axis, a y-axis, and a z-axis is defined.
- the x-axis arrows in the following figures indicate the horizontal direction.
- the y-axis arrow points in the vertical direction or the long axis direction of the user's body.
- the z-axis arrow points in the depth direction.
- the z-axis positive direction refers to the direction of greater depth.
- the direction of each arrow is the same in other figures.
- a three-dimensional space detection area (3D space) 4103 ⁇ / b> D that can be detected by the infrared detection unit 410 of the operation system 400 is provided.
- the three-dimensional space detection area 4103D is formed of a conical or pyramidal three-dimensional space from the infrared detection unit 410.
- the infrared detection unit 410 can detect the infrared rays emitted from the infrared irradiation element 411 by the infrared detection camera 412, and thus can recognize a gesture in the three-dimensional space detection region 4103D.
- one infrared detection unit 410 is provided.
- the present invention is not limited to this, and a plurality of infrared detection units 410 may be provided, or one infrared irradiation element 411 may be provided.
- a plurality of detection cameras 412 may be provided.
- the pair of transflective displays 220 displays to the user a virtual image display that is not a part of the glasses display device 100 that is actually provided, but is located away from the glasses display device 100.
- the region 2203D is visually recognized as being virtually displayed with a depth.
- the depth corresponds to the thickness in the depth direction (z-axis direction) of the virtual three-dimensional shape of the virtual image display area 2203D. Therefore, the depth is provided according to the thickness of the virtual three-dimensional shape in the depth direction (z-axis direction).
- the user recognizes the right-eye image through the right-eye semi-transmissive display 220 in the three-dimensional space area 2203DR, and the left-eye image is The light is transmitted through the transflective display 220 on the left eye side and recognized by the three-dimensional space area 2203DL.
- both recognized images are synthesized in the user's brain, and can be recognized as a virtual image in the virtual image display area 2203D.
- the virtual image display area 2203D includes a frame sequential method, a polarization method, a linear polarization method, a circular polarization method, a top-and-bottom method, a side-by-side method, an anaglyph method, a lenticular method, and a parallax barrier method.
- the liquid crystal parallax barrier method, the two-parallax method, and the multi-parallax method using three or more parallaxes are used for display.
- the virtual image display area 2203D has a spatial area shared with the three-dimensional space detection area 4103D.
- the virtual image display area 2203D since the virtual image display area 2203D exists inside the three-dimensional space detection area 4103D, the virtual image display area 2203D serves as a shared area.
- the shape and size of the virtual image display area 2203D can be arbitrarily adjusted by the display method on the pair of transflective displays 220. Moreover, as shown in FIG. 8, although the case where the infrared detection unit 410 is arrange
- FIGS. 6 to 8 are schematic diagrams illustrating other examples of the detection area and the virtual display area illustrated in FIGS. 6 to 8.
- an input / output device 900 For example, as shown in FIGS. 9 to 11, other input / output devices, display devices, televisions, monitors, and the like may be used instead of the transflective display 220 of the eyeglass display device 100.
- other input / output devices, display devices, televisions, monitors, and projectors are collectively referred to as an input / output device 900.
- the virtual image display area 2203D is output from the input / output device 900 in the negative z-axis direction, and the infrared detection unit 410 disposed at a position facing the input / output device 900 in the z-axis direction outputs the z-axis.
- a three-dimensional space detection region 4103D may be formed in the positive direction.
- a virtual image display area 2203D by the input / output device 900 is generated as a space area shared with the three-dimensional space detection area 4103D.
- a virtual image display area 2203D is output from the input / output device 900, and the infrared detection unit 410 is in the same direction as the input / output device 900 (all directions on the z-axis positive side with respect to the xy plane).
- the three-dimensional space detection region 4103D may be formed. Even in this case, the virtual image display area 2203D by the input / output device 900 is generated as a space area shared with the three-dimensional space detection area 4103D.
- the virtual image display area 2203 ⁇ / b> D may be output from the input / output device 900 in a vertically upward direction (y-axis positive direction). Also in FIG. 11, similarly to FIGS. 9 and 10, the virtual image display area 2203 ⁇ / b> D by the input / output device 900 is generated as a space area shared with the three-dimensional space detection area 4103 ⁇ / b> D.
- the input / output device 900 is arranged above the three-dimensional space detection region 4103D (y-axis positive direction side), and the virtual image display region 2203D is vertically downward (y-axis negative direction). It may be output, may be output from the horizontal direction (x-axis direction), or may be output from the rear upper side (z-axis positive direction and y-axis positive direction) like a projector or a movie theater.
- FIGS. 12 and 13 are schematic diagrams illustrating examples of the operation area and the gesture area in the detection area.
- the user horizontally moves both hands around the shoulder joints of the right shoulder joint RP and the left shoulder joint LP, so that the area where both hands can move is surrounded by a dotted line.
- the moving area L and the moving area R become the same.
- the user vertically moves both hands around the shoulder joints of the right shoulder joint RP and the left shoulder joint LP, so that the area where both hands can move is surrounded by a dotted line.
- the moving area L and the moving area R become the same.
- the user has a spherical shape (having an arch-shaped curved surface convex in the depth direction) with both hands rotating around the right shoulder joint RP and the left shoulder joint LP, respectively. Can be moved.
- the three-dimensional space detection area 4103D by the infrared detection unit 410 the area where the virtual image display area may exist (the virtual image display area 2203D is illustrated in FIG. 12), the arm movement area L, and the movement area R are combined.
- a space area that overlaps with the selected area is set as the operation area 410c.
- a portion other than the operation region 410c in the three-dimensional space detection region 4103D and a portion overlapping with the combined region of the arm movement region L and the movement region R is set as the gesture region 410g.
- the operation region 410c has a three-dimensional shape in which the surface farthest in the depth direction is a curved surface curved in an arch shape convex in the depth direction (z-axis positive direction), whereas the virtual image display region 2203D has a depth of The surface farthest in the direction has a three-dimensional shape that is a plane.
- the user feels uncomfortable in the operation.
- adjustment is performed by a calibration process. Details of the calibration process will be described later.
- FIG. 14 is a flowchart for explaining the calibration process.
- a calibration process is performed to facilitate the operation in the virtual image display area 2203D by a recognition process described later.
- the finger length, hand length, and arm length that are different for each user are also adjusted.
- the user wears the eyeglass display device 100 and extends both arms to the maximum.
- the infrared detection unit 410 recognizes the maximum area of the operation area 410c (step S11). That is, since the length of the finger, the length of the hand, and the length of the arm, which are different for each user, are different depending on the user, the operation area 410c is adjusted.
- the display position of the virtual image display area 2203D is determined (step S12). That is, if the virtual image display area 2203D is arranged outside the operation area 410c, the operation by the user becomes impossible, so the virtual image display area 2203D is arranged inside the operation area 410c.
- the maximum area of the gesture area 410g is set in a position that does not overlap the display position of the virtual image display area 2203D within the three-dimensional space detection area 4103D of the infrared detection unit 410 of the eyeglass display device 100 (step S13).
- the gesture region 410g is preferably arranged so as not to overlap the virtual image display region 2203D and has a thickness in the depth direction (z-axis positive direction).
- the operation area 410c, the virtual image display area 2203D, and the gesture area 410g are set by the above method.
- step) S14 When it is determined that the user's finger, hand, or arm exists outside the virtual image display area 2203D in the operation area 410c, rounding is performed so that the user's finger, hand, or arm exists inside the virtual image display area 2203D (step) S14).
- both hands remain in the virtual image display area 2203D. Without any deviation in the depth direction (z-axis positive direction). Further, at the end of the virtually displayed image, it is not determined that both hands are present in the virtual image display area 2203D unless both arms are extended to the maximum. Therefore, if the signal from the infrared detection unit 410 is used without processing, even if the user moves away from the virtual image display area 2203D, it is difficult for the user to experience such a state.
- the signal from the infrared detection unit 410 is processed so as to correct the hand protruding outside from the virtual image display area 2203D within the virtual image display area 2203D. To do. As a result, the user can operate from the center to the end of the flat virtual image display area 2203D having a depth with both arms extended to the maximum or slightly bent.
- the virtual image display area 2203D is made up of a three-dimensional space area whose plane farthest in the depth direction is a plane, but is not limited to this, and is the plane area farthest in the depth direction. It is good also as consisting of the three-dimensional space area
- the transflective display 220 displays a rectangular image in the virtual image display area 2203D. For example, as shown in FIG. 5B, a rectangular image is displayed (step S15). Subsequently, display is performed when the periphery of the image is surrounded by a finger on the transflective display 220 (step S16).
- a finger-shaped image may be displayed lightly in the vicinity of the image, or an instruction may be transmitted from the speaker to the user by voice instead of being displayed on the transflective display 220.
- the user places his / her finger on the portion where the image can be seen as shown in FIG. Then, the correlation between the display area of the virtual image display area 2203D and the infrared detection unit 410 is automatically adjusted (step S17).
- a rectangle is formed with a finger, and is matched with the rectangle thus determined and the rectangle of the outer edge of the image.
- the rectangular viewing size and position determined by the finger are matched with the rectangular viewing size and position of the outer edge of the image.
- the method of determining the shape with the finger is not limited to this, and any other method such as a method of tracing the outer edge of the displayed image with a finger, a method of pointing a plurality of points on the outer edge of the displayed image with a finger, etc. It may be. Moreover, you may perform these methods about the image of several sizes.
- FIG. 15 is a schematic diagram illustrating an example of finger recognition.
- 15A is an enlarged view of the vicinity of the tip of the finger
- FIG. 15B is an enlarged view of the vicinity of the base of the finger.
- FIG. 16 is a flowchart illustrating an example of finger recognition processing.
- the device is initialized (step S21).
- the infrared ray irradiated from the infrared irradiation element 411 and reflected by the hand is detected by the infrared detection camera 412 (step S22).
- the image data is replaced with a distance in units of pixels by the infrared detection unit 410 (step S23).
- the brightness of infrared rays is inversely proportional to the cube of the distance.
- a depth map is created (step S24).
- an appropriate threshold value is provided for the created depth map.
- the image data is binarized (step S25), that is, noise in the depth map is removed.
- a polygon having about 100 vertices is created from the binarized image data (step S26).
- a low-pass filter (LPF) so the vertex becomes smooth, by creating a new polygon having more vertexes p n, it extracts the outline OF hand shown in FIG. 15 (step S27).
- the number of vertices extracted to create a polygon from the binarized data in step S26 is about 100.
- the number of vertices is not limited to this, and 1000 or any other arbitrary number is used. It may be a number.
- step S28 From the set of vertices p n of new polygons created in step S27, using Convex Hull, it extracts the hull (step S28). Thereafter, a shared vertex p 0 between the new polygon created in step S27 and the convex hull created in step S28 is extracted (step S29).
- the shared vertex p 0 itself extracted in this way can be used as the finger tip point. Further, another point calculated based on the position of the vertex p 0 may be used as the tip point of the finger. For example, it is also possible to calculate the center of the inscribed circle of the contour OF as the tip points P0 at the vertex p 0 as shown in FIG. 15 (A).
- a vector of the reference line segment PP 1 passing through the pair of left and right vertices p 1 adjacent to the vertex p 0 is calculated.
- the side pp 2 connecting the vertex p 1 and the adjacent vertex p 2 is selected, and its vector is calculated.
- the vertex p n constituting the outer OF was selected, and its vector is calculated.
- Examined the reference line segment PP 1 direction by the processing direction and step S30 of each side determines that the sides pp k comprising parallel close to the reference line segment PP 1 is present at the position of the crotch of the finger.
- the root point P1 of the finger is calculated (step S30).
- a finger skeleton is obtained by connecting the finger tip point P0 and the finger root point P1 with a straight line (step S31).
- the extension direction of the finger can be recognized.
- skeletons for all fingers are obtained. Thereby, the hand pose can be recognized. That is, it is possible to recognize which of the thumb, the index finger, the middle finger, the ring finger, and the little finger is spread and which finger is gripped.
- a difference in hand pose is detected in comparison with the image data of several frames performed immediately before (step S32). That is, the hand movement can be recognized by comparing with the image data of the last several frames.
- the recognized hand shape is delivered to the event service unit 460 as gesture data (step S33).
- step S34 the application software unit 459 performs a behavior corresponding to the event.
- the display service unit 462 requests drawing in the three-dimensional space (step S35).
- the graphic operation unit 463 refers to the calibration data recording unit 457 using the calibration service unit 461, and corrects the display (step S36).
- display is performed on the transflective display 220 by the display arithmetic unit 464 (step S37).
- the root point of the finger is detected by the process of step S30 and the process of step S31, but the root point detection method is not limited to this.
- the length of the reference line segment PP 1 that connects a pair of adjacent vertices p 1 on one side and the other side of the vertex p 0 is calculated.
- the length of a line connecting between the pair of vertices p 2 at the one side and the other side is calculated.
- the length of the line segment connecting the pair of vertices on the one side and the other side is calculated in the order from the vertex located closer to the vertex p 0 to the vertex located further away.
- Such line segments are approximately parallel to each other without intersecting within the outer shape OF.
- the root point can be determined by detecting the line segment that does not exceed the predetermined amount and the farthest from the apex p 0 and extracts one point on the detected line segment. .
- FIG. 17 is a schematic diagram illustrating an example of palm recognition.
- the maximum inscribed circle C inscribed in the outer shape OF of the image data is extracted.
- the position of the maximum inscribed circle C can be recognized as the palm position.
- FIG. 18 is a schematic diagram showing an example of thumb recognition.
- the thumb has characteristics different from the other four fingers of the index finger, the middle finger, the ring finger, and the little finger.
- ⁇ 1 involving the thumb tends to be the largest.
- ⁇ 11 involving the thumb tends to be the largest.
- the thumb is determined based on such a tendency. As a result, it is possible to determine whether it is the right hand or the left hand, or the front or back of the palm.
- arm recognition Next, arm recognition will be described. In the present embodiment, arm recognition is performed after any of a finger, palm, and thumb is recognized. Note that the arm recognition may be performed before recognizing any one of the finger, the palm, and the thumb, or at least one of them.
- the polygon is extracted in a larger area than the hand-shaped polygon of the image data.
- the process of steps S21 to S27 is performed in a range of 5 cm to 100 cm in length, and more preferably in a range of 10 cm to 40 cm to extract the outer shape.
- a rectangular frame circumscribing the extracted outer shape is selected.
- the square frame is a parallelogram or a rectangle.
- the extension direction of the arm can be recognized from the extension direction of the long side, and the direction of the arm can be determined from the direction of the long side. I can do it.
- the movement of the arm may be detected in comparison with the image data of the previous few frames.
- the finger, palm, thumb, and arm are detected from the two-dimensional image.
- the present invention is not limited to the above, and the infrared detection unit 410 may be further added, and only the infrared detection camera 412 is used. May be added to recognize a three-dimensional image from a two-dimensional image. As a result, the recognition accuracy can be further increased.
- Gesture data stocked in the gesture data recording unit 455 (see FIG. 3) is registered by the user.
- the gesture data is set as a gesture command by the user, and further rewritten as necessary.
- FIG. 19 is a flowchart illustrating an example of processing for registering gesture data in the gesture data recording unit 455.
- the application software unit 459 activates the gesture setting application in accordance with a user operation.
- a gesture data registration function is selected from the functions displayed on the application screen (step S41).
- imaging preparation a user uses a hand and an arm to represent a form desired to be registered as a gesture. Imaging is waited until the user determines the shape of the hand representing the gesture (step S42).
- the imaging standby time can be set to 5 seconds, for example.
- a part including at least a part of the hand and arm representing the gesture is photographed (step S43).
- outer shape data is acquired as a series of detected outer shapes.
- a moving image is acquired by photographing a hand and an arm showing a gesture for a certain period of time.
- the shooting time can be set to 10 seconds, for example.
- outer shape data may be acquired as a plurality of detected outer shapes by shooting a still image a plurality of times.
- a plurality of frames can be acquired by performing continuous shooting while the gesture is shown.
- a plurality of frames can be acquired by shooting the same gesture at different times and places.
- Photographing is performed by the infrared detection unit 410, for example.
- the infrared detection unit 410 detects the outer shape of the hand and arm indicating a gesture.
- the outer shape detection is performed by the same processing as steps S22 to S25 in FIG. This outer shape detection process is performed for each of a plurality of frames.
- the hand and arm feature portions indicating the gesture are analyzed (step S44).
- the analysis of the characteristic part is performed for each of the detected plurality of external shapes.
- Features to be analyzed include portions of interest that exhibit anatomical features such as the number and position of fingers in a predetermined form.
- the position and / or angle value of the feature portion is analyzed (step S45).
- an anatomical feature point in the object such as a point representing the fingertip and the base of the finger, can be represented by adding coordinate information.
- the angle of the feature portion can be expressed by adding angle information based on the extending direction of the finger and the extending direction of the arm.
- step S44 and step S45 the same processing as the above-described finger recognition, palm recognition, and arm recognition is performed. More specifically, the same processing as steps S26 to S31 in FIG. 16 is performed. As a result, the skeleton of all fingers is obtained by performing the same process for all fingers. Thereby, the extending direction of the finger, specifically, the angle of the finger around the finger joint can be recognized. Further, the position of the feature point indicating the fingertip, the finger base, or the like can be recognized by adding coordinate information. Furthermore, the form of the hand can be recognized. For example, it is possible to recognize the form of each finger (specifically, which one of the thumb, forefinger, middle finger, ring finger, and little finger is bent and which finger is extended).
- the palm position can be recognized by palm recognition as in FIG. 17, and the right hand or left hand, or the front or back of the palm can be determined by thumb recognition as in FIG. Thereby, the position of a predetermined finger can be recognized.
- arm recognition it is possible to determine the arm extending direction, specifically the arm angle around the elbow joint.
- step S45 the range of movement of the hand and arm showing the gesture to be photographed in step S43 is also derived by integrating the information of the above-described feature portions extracted for a plurality of external shapes.
- the movable range can be derived by obtaining a range including the maximum value and the minimum value of the angle obtained by the above-described extraction of the characteristic portion.
- the movable range can be derived by obtaining a range including the coordinate locus of the feature point indicating the fingertip or the like.
- the plurality of outer shapes are compared with each other over time based on the difference between the characteristic portions extracted for the plurality of outer shapes. Thereby, it is possible to recognize the transition of the outer shape accompanying the gesture operation.
- the user determines whether or not to record the analysis result as gesture data (step S46). In this case, it may be possible to confirm the form of the hand and arm taken by reproducing the taken moving image and displaying the analysis result.
- recording as gesture data Yes in step S46
- it is recorded in the gesture data recording unit 455 (step S47).
- the recording standby can be performed again (step S42) to record another moving image without recording in the gesture data recording unit 455.
- the aspect which acquires a series of external shape or a some external shape was mentioned, it is not limited to this aspect.
- one outline may be acquired, the feature point and the value of the position and / or direction of the acquired outline may be analyzed and recorded in the gesture data recording unit 455.
- FIG. 20 is a flowchart illustrating an example of an association process in which gesture data is recorded in association with an operation of an application that uses the gesture data as a command in the gesture data recording unit 455.
- a gesture command setting function is selected from the functions displayed on the screen of the gesture setting application in accordance with a user operation (step S51).
- the application software unit 459 calls and refers to the application operation command (step S52).
- the application operation includes any operation used when using the application, such as activation and termination of the application, selection and determination of each function in the application, and movement of the screen.
- the command to be generated by the gesture is selected from the referenced command data (step S53). Furthermore, the gesture data is called from the gesture data recording unit 455 and referred to (step S54). A gesture to be associated with the command selected in step S53 is selected (step S55). The user determines whether or not to set with the selected gesture (step S56). In the case of setting with the selected gesture (Yes in step S56), the gesture data is recorded in the gesture data recording unit 455 in a state in which the gesture data is to be generated as a command (step S57). When canceling the selected gesture (No in step S56), it is possible to select the gesture data again (step S54) and select another gesture (step S55).
- the application operation command is first called and selected, and then the gesture data is associated with the selected application command.
- the present invention is not limited to this mode. For example, after calling and selecting gesture data first, an application operation command may be associated with the selected gesture data. Further, for example, after calling an application operation command, the gesture data may be directly recorded and associated.
- FIG. 21 is a flowchart showing an example of processing for rewriting a gesture command in the gesture data recording unit 455.
- a gesture command rewriting function is selected from the functions displayed on the screen of the gesture setting application in accordance with a user operation (step S61).
- the gesture data is called from the gesture data recording unit 455 and referred to (step S62).
- a gesture command to be rewritten is selected (step S63), and it is determined whether or not to cancel the association with the application operation associated with the gesture command (step S64).
- the cancellation is executed, and the relationship between the gesture data constituting the gesture command and the application operation is lost (step S65). If the association is not cancelled (No in step S64), this process ends.
- step S65 After the relationship between the gesture data and the application operation is canceled in step S65, it is further determined whether or not to delete the gesture data itself whose relationship has been canceled (step S66). When the gesture data itself is also deleted (Yes in step S66), the gesture data is deleted from the gesture data recording unit 455 (step S67).
- step S67 When the gesture data is deleted in step S67, the gesture data registration process described in FIG. 19 is performed (step S68). Thereafter, the gesture command setting process described with reference to FIG. 20 is performed to set a new gesture command (step S69).
- Step S69 when the gesture data is not deleted (No in step S66), the gesture command setting process described in FIG. 20 is performed, and a new gesture command is set by associating the gesture data with another application operation.
- the method of performing gesture identification using the gesture data in the gesture data recording unit 455 recorded as described above is as described in steps S1 to S4 in FIG. More specifically, as in the above-described gesture data registration, a plurality of frames of target outline image data are acquired in step S2, and information on the outline feature and its movable range is acquired in step S3, respectively. . Further, in step S4, the feature part of the outer shape of the gesture data recorded in the gesture data recording unit 455 and its movable range are compared with the feature part of the outer shape of the gesture to be identified and its movable range. By determining the coincidence between the two data, it is determined which of the gesture data recorded in the gesture data recording unit 455 corresponds to the gesture to be identified.
- step S5 the application software unit 459 performs a predetermined application operation using the gesture determined by the gesture identification unit 456 as a command.
- FIG. 22 is a schematic diagram illustrating an example of display on the transflective display 220 of the eyeglass display device 100.
- an advertisement 221 is displayed on a part of the transflective display 220 of the glasses display device 100, a map 222 is displayed on a part of the display, and the other part is a half of the glasses display device 100.
- a landscape 223 is visually recognized through the transmissive display 220, and a weather forecast 224 and a time 225 are also displayed.
- FIG. 23A illustrates an example of the field of view of the translucent display 220
- FIG. 23B illustrates an example of the display of the translucent display 220.
- the display that can be viewed by the eyeglass display device 100 is composed of a plurality of displays 701 to 707.
- a plurality of displays are segments forming a part of a continuous image in which all of them are integrated. By switching the visible portion of the continuous image, a switching display is performed in which a plurality of displays are smoothly transitioned without being interrupted.
- displays 703, 702, 701, 704, and 705 are provided in the vertical direction, and displays 706 and 707 are provided on the left and right with the display 701 as the center.
- the displays 701 to 707 can be freely deleted or changed by the user, and other displays can be added.
- the displays 701 to 707 are seamless continuous images, but the display to be switched may be an independent non-continuous image.
- the display 701 is displayed when the posture of the eyeglass display device 100 is horizontal, that is, when the user wears the eyeglass display device 100 and faces horizontally.
- a display 702 is displayed. That is, the direction in which the user faces is recognized based on a signal from at least one of the gyro sensor unit 420 and the acceleration detection unit 430 in the eyeglass display device 100.
- the display 702 may display a screen of a face recognition application, for example.
- a display 703 is displayed.
- a weather forecast may be displayed on the display 703.
- other sky information may be displayed on the display 703.
- an image of a constellation may be displayed depending on the time zone.
- a display 704 for example, a mail screen
- Display 705 for example, a map
- a display 706 for example, an Internet browser
- a display 707 for example, a call screen
- the display 701 to the display 707 are switched based on a signal from at least one of the gyro sensor unit 420 and the acceleration detection unit 430.
- the present invention is not limited to this. Switching may be performed by palm and arm recognition.
- the gyro sensor unit is a condition for switching at least one of the display 701 to the display 702, the display 701 to the display 704, the display 701 to the display 707, and the display 701 to the display 706.
- the level of the signal from at least one of 420 and the acceleration detection unit 430 may be set higher. Thereby, it is possible to prevent the display 701 from being switched to another display in a short time during walking. Moreover, when turning around urgently, a setting that is not particularly switched may be provided.
- the sky information display 703 and the map information display 705 may be panoramic displays. In this case, the displays 703 and 705 may be scrolled in accordance with the movement in the left-right direction.
- FIG. 24 is a schematic diagram illustrating an example of a predetermined event occurrence
- FIG. 25 is a schematic diagram illustrating another example of the event occurrence of FIG. 24
- FIG. 26 is a schematic diagram illustrating an example of another event occurrence.
- the shape of the hand H1 detected by the infrared detection unit 410 is displayed on the virtual image. Further, when the user's hand is away from the operation area 410c, a shadow H2 having the shape of the hand H1 is displayed as an example of the event. Thereby, the user can easily recognize that the hand is present in the gesture region 410g.
- the virtual image displays the shape of the hand H1 detected by the infrared detection unit 410, and a shadow H3 that is darker than the shadow H2 has a small area around the shape of the hand H1. Is displayed. Therefore, the user can easily recognize that the hand is closer to the operation area 410c than in the case of FIG. Further, when the hand is in the operation area 410c, the shadows H2 and H3 are not displayed.
- the user does not need to search the operation area 410c by trial and error or groping. That is, the distance to the operation area 410c can be easily recognized based on the density of the shadow and how the hand shape deviates from the shadow.
- the circle display H4 may be performed on the fingertip.
- the present invention is not limited to this, and a ripple is generated in the display when it is within the operation area 410c.
- the vibration generation device may be provided in the eyeglass display device 100 to generate vibration, sound may be generated, or the display may be changed depending on at least one of the display blinking mode and the lighting illuminance. Good.
- the distance to the operation area 410c may be represented by a blinking interval, and the distance to the operation area 410c may be represented by lighting illuminance.
- lighting in darker colors red, black, purple, etc.
- lighting in lighter colors blue, yellow, pink, etc.
- Other human senses typically visual, auditory and tactile) ) May be triggered by any event.
- the virtual image display can be operated.
- the virtual image display can be enlarged or reduced, the display can be scrolled, or a point can be selected.
- an additional display may be performed by touching the display of the advertisement 221.
- the advertisement 221 displays information such as merchandise and services of the store.
- more detailed information regarding the store may be additionally displayed.
- the advertisement 221 may be an image of the store itself taken by the camera unit 303, or automatically starts store recognition based on image data of the store by the camera unit 303.
- the store recognition application It may be recognition result information displayed on the screen.
- Display in parody mode In addition, as shown in FIG. 28, when a logo mark of one company (XX company) is displayed on the transflective display 220, a competition or non-competition can be achieved by touching the logo mark on the screen. Information related to other companies ( ⁇ company) can be displayed. In this case, for example, a logo of the other company may be displayed as a parody mode.
- FIG. 29 to FIG. 36 are schematic diagrams showing examples of gesture recognition.
- a menu screen V1 is displayed between the thumb and index finger. Also good.
- a predetermined image V2 may be displayed between the index finger and the middle finger.
- the face recognition application when the hand H1 is lightly opened and moved in the direction of the arrow by a greeting action, the face recognition application is automatically activated. Face recognition is automatically started based on the face data of the other person acquired by the camera unit 303, and information such as name, company name, job title, date and place of the last meeting is displayed on the face recognition application screen V3. . Further, a flag may be set each time the same person is recognized by the recognition of the face recognition application, and the number of flags may be displayed on the face recognition application screen V3. In this case, the background and color of the face recognition application screen V3 may be varied depending on the number of flags.
- an SNS (SOCIAL NETWORKING SERVICE) application can be automatically started by drawing the letter S of the alphabet with the finger of the hand H1, and the SNS application screen V5 can be displayed.
- the kanji application is activated and the index finger of the hand H1 is recognized to display an additional brush image at the position of the index finger. .
- the sword application is activated, and a sword image is additionally displayed at the position of the hand on the sword, and the virtual image display screen V7 is cut. it can.
- the camera application is automatically activated, and the scenery in the imaging frame extracted from the formed square in the camera application screen V8. Etc. may be imaged.
- the outer shape of the hand H1 showing a predetermined gesture is detected by the infrared detection unit 410, and the outer feature of the hand H1 showing a predetermined gesture is detected from the detected outer shape. And at least one of its position and direction are analyzed, and the result is recorded in the gesture data recording unit 455, so that the gesture data can be acquired and stocked quickly and easily. For example, even if a marker is not attached to the hand H1 in advance, since the form indicating the gesture is read from the outer shape of the hand H1, the gesture data can be acquired and stocked quickly and easily.
- gesture data recorded in the gesture data recording unit 455 can be deleted, improved customizability can be obtained.
- the gesture data recorded in the gesture data recording unit 455 is associated with the predetermined application operation, the gesture data can be used as a command for executing the predetermined application operation.
- an operation included in the gesture of the hand H1 can be easily registered.
- the stationary sign included in the gesture of the hand H1 can be easily registered.
- a gesture by a part of the human body including the hand H1 can be easily registered.
- a gesture can be registered according to the physical characteristics of the user.
- the gesture data using both hands recorded in the gesture data recording unit 455 is changed, and the gesture data that the user can express with one hand is recorded again. Therefore, a predetermined operation can be performed in the same manner.
- the eyeglass display device 100 since the outer shape data of the hand H1 having a predetermined form may be acquired by the moving image photographing apparatus, a plurality of sets of outer shape data of the target having the predetermined form can be acquired. For this reason, for example, it is possible to set a gesture accompanied by an action. On the other hand, a gesture of a stationary sign that is not intended for transition of motion can be set so as to include various forms that are acceptable to the gesture.
- the external shape data of the hand H1 having a predetermined form may be acquired by the still image capturing device, a plurality of external data of the target having the predetermined form can be acquired. For this reason, for example, it is possible to set a gesture accompanied by an action. On the other hand, a gesture of a stationary sign that is not intended to transition can be set so as to include various forms that are acceptable to the gesture.
- the outer shape feature of the hand H1 indicating the gesture is specified by the number of fingers extending the hand H1, its position, angle, and arm angle. Gesture data can be registered easily.
- the eyeglass display device 100 includes the gesture registration device described above, it is possible to register a gesture while wearing the device itself on the body. Further, since both hands are free, for example, it is possible to register a gesture with both hands.
- the infrared detection unit 410 corresponds to the “outer shape detection unit”
- the fingers of the hand H1 and the hand H1 correspond to the “target”
- the depth map calculation unit 452 and the image processing unit 453 serve as the “analysis unit”.
- the gesture data recording unit 455 corresponds to a “recording unit”
- the operation system 400 corresponds to a “gesture registration device”
- the eyeglass display device 100 corresponds to a “head-mounted display device”.
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Abstract
Description
日本国特表2012-528405号公報(特許文献1)に開示された方法は、入力デバイスが現在操作されている方位と、入力デバイスの複数の方位間における遷移とを検出し変換するステップであって、入力デバイスが、プロセッサを含む手持ちサイズの筐体を備えている、ステップと、方位および遷移に応答して、複数の入力モードからの1つの入力モードの選択を自動的に制御するステップと、入力モードにしたがって、ジェスチャ制御システムに結合されている三空間物体を制御するステップと、を含む。さらに、当該方法における検出が光学的追跡であること、および、当該方法が、入力デバイスに接続されている少なくとも1つのタグを追跡するステップを備えていることが開示されている。
そこで、本発明の目的は、迅速かつ簡便にジェスチャデータを取得しストックすることができる、ジェスチャ登録装置、ジェスチャ登録プログラムおよびジェスチャ登録方法を提供することにある。
一局面に従うジェスチャ登録装置は、外形検知部と、分析部と、記録部とを含む。外形検知部は、所定の形態を有する対象の外形を検知する。分析部は、検知された対象の外形から、少なくとも、外形特徴部の分析と、外形特徴部の位置および方向の少なくともいずれかの値の分析と、を行なう。記録部は、分析部による結果をジェスチャデータとして記録する。
また、ユーザによるジェスチャに応じて所定のジェスチャデータを記録し、アプリの操作等に用いることができる。特に、ユーザが表現可能なジェスチャの種類がユーザの身体的特徴等に起因して制限される場合に、有効である。
ジェスチャ登録装置は、さらに削除部を含んでよい。削除部は、ジェスチャデータを記録部から削除する。
ジェスチャ登録装置は、さらに関連付け部を含んでよい。関連付け部は、所定の形態を表すジェスチャデータを、所定の操作と関連付けて記録部に記録させる。
ジェスチャ登録装置は、さらに解除部を含んでよい。解除部は、所定の形態を表すジェスチャデータと所定の操作との関連付けを解除する。
外形検知部は、経時変化を伴う一連の対象の外形を検知し、分析部において、外形特徴部の経時的変化の分析がさらに行なわれてよい。
外形検知部は、対象の外形を複数回検知してよい。
これによって、所定の形態に対して複数の外形データを取得できるため、より認識されやすい態様でジェスチャデータを登録することができる。
対象は、少なくとも指、掌、手、腕および肘のいずれかを含む人体の一部であってよい。
これによって、人体の一部を用いるジェスチャを簡便に登録することができる。したがって、たとえばユーザの身体的特徴に応じてジェスチャを登録することができる。
外形検知部は動画撮影装置であってよく、所定の形態の対象を所定時間連続的に撮像することによって、一連の外形を検知してよい。
外形検知部は静止画撮影装置であってよく、所定の形態の対象を複数回撮像することによって、複数の外形を検知してよい。
外形特徴部は、少なくとも、所定の形態の指の数、位置、角度および腕の角度のいずれかであってよい。
これによって、ジェスチャデータをより正確に登録することができる。
他の局面に従うヘッドマウントディスプレイデバイスは、一局面に従うジェスチャ登録装置を含む。
さらに他の局面に従うジェスチャ登録プログラムは、外形検知処理と、分析処理と、記録処理とを含む。外形検知処理においては、所定の形態を有する対象の外形を検知する。分析処理においては、検知された対象の外形から、少なくとも、外形特徴部の分析と、外形特徴部の位置および方向の少なくともいずれかの値の分析とを行なう。記録処理においては、分析処理による結果をジェスチャデータとして記録する。
ジェスチャ登録プログラムは、削除処理をさらに含んでよい。削除処理においては、ジェスチャデータを削除する。
ジェスチャ登録プログラムは、関連付け処理をさらに含んでよい。関連付け処理においては、所定の形態を表すジェスチャデータを、所定の操作と関連付けて記録させる。
ジェスチャ登録プログラムは、さらに解除処理を含んでよい。解除処理は、所定の形態を表すジェスチャデータと所定の操作との関連付けを解除する。
外形検知処理は動画撮影処理であってよく、所定の形態の対象を所定時間連続的に撮像することによって、一連の外形を検知してよい。
外形検知処理は静止画撮影処理であってよく、所定の形態の対象を複数回撮像することによって、複数の外形を検知してよい。
さらに他の局面に従うジェスチャ登録方法は、外形検知工程と、分析工程と、記録工程とを含む。外形検知工程においては、所定の形態を有する対象の外形を検知する。分析工程においては、検知された対象の外形から、少なくとも、外形特徴部の分析と、外形特徴部の位置および方向の少なくともいずれかの値の分析とを行なう。記録工程においては、分析工程による結果をジェスチャデータとして記録する。
ジェスチャ登録方法は、削除工程をさらに含んでよい。削除工程においては、ジェスチャデータを削除する。
ジェスチャ登録方法は、関連付け工程をさらに含んでよい。関連付け工程においては、所定の形態を表すジェスチャデータを、所定の操作と関連付けて記録させる。
ジェスチャ登録方法は、さらに解除工程を含んでよい。解除工程においては、所定の形態を表すジェスチャデータと所定の操作との関連付けを解除する。
外形検知工程は動画撮影工程であってよく、所定の形態の対象を所定時間連続的に撮像することによって、一連の外形を検知してよい。
外形検知工程は静止画撮影工程であってよく、所定の形態の対象を複数回撮像することによって、複数の外形を検知してよい。
220 半透過ディスプレイ
221 広告
2203D 仮想イメージ表示領域(共有領域)
300 通信システム
303 カメラユニット
410 赤外線検知ユニット
410c 操作領域
420 ジャイロセンサユニット
430 加速度検知ユニット
4103D 三次元空間検知領域
450 制御ユニット
454 解剖学的認識ユニット
456 ジェスチャ識別ユニット
460 イベントサービスユニット
461 キャリブレーションサービスユニット
701,~,707 表示
900 入出力装置
H1 手
H2,H3 陰影
RP 右肩関節
LP 左肩関節
OF 外形
pn,p0,p1 頂点
PP1 基準線分
pp2 辺
ppk 辺
P0 先端点
P1 根元点
C 最大内接円
V3 顔認識アプリ画面
V5 SNSアプリ画面
また、本発明は、以下に説明する眼鏡表示装置に限定されるものではなく、他の入出力装置、表示装置、テレビジョン、モニタ、プロジェクタ等にも適用することができる。
図1は、一実施の形態にかかる眼鏡表示装置100の基本構成の一例を示す模式的外観正面図であり、図2は、眼鏡表示装置100の一例を示す模式的外観斜視図である。
図1および図2に示すように、眼鏡ユニット200は、眼鏡フレーム210および一対の半透過ディスプレイ220からなる。眼鏡フレーム210は、主にリムユニット211、テンプルユニット212を含む。
眼鏡フレーム210のリムユニット211により一対の半透過ディスプレイ220が支持される。
また、当該レンズ類の一部に、半透過ディスプレイ220を埋め込んで設けてもよい。
次に、通信システム300について説明を行なう。
通信システム300は、バッテリーユニット301、アンテナモジュール302、カメラユニット303、スピーカユニット304、GPS(Global Positioning System)ユニット307、マイクユニット308、SIM(Subscriber Identity Module Card)ユニット309およびメインユニット310を含む。
なお、カメラユニットにはCCDセンサが備えられてよい。スピーカユニット304は、ノーマルイヤホンであってもよいし、骨伝導イヤホンであってもよい。SIMユニット309には、NFC(Near Field Communication:近距離無線通信)ユニットおよび他の接触式ICカードユニット、ならびに非接触式ICカードユニットを含む。
したがって、ユーザは、眼鏡表示装置100を用いて、通信装置、スピーカおよびマイクにより、携帯電話と同様の通話機能を使用することができる。また、眼鏡型であるので、両手を利用せず、通話を行なうことができる。
続いて、操作システム400は、赤外線検知ユニット410、ジャイロセンサユニット420、加速度検知ユニット430および制御ユニット450からなる。赤外線検知ユニット410は、主に赤外線照射素子411および赤外線検知カメラ412からなる。
ジェスチャ識別ユニット456は、ジェスチャデータ記録ユニット455に記録されたジェスチャデータを参照し、解剖学的特徴が識別された外形からジェスチャの識別を行なう。なお、ジェスチャ識別ユニット456は、ジェスチャデータ記録ユニット455からのジェスチャデータを参照することとしているが、参照することに限定されず、他の任意のデータを参照してもよく、全く参照することなく処理してもよい。
以上により、図5(a)に示すように、手のジェスチャを認識する。
これによって、図5(b)に示すように、たとえば写真アプリによる画像が表示される。この際、当該画面には、カメラユニット303からの撮像データが表示されてよい。
次に、操作システム400の赤外線検知ユニット410の検知領域と、一対の半透過ディスプレイ220の仮想表示領域との関係について説明を行なう。
図6は、赤外線検知ユニット410の検知領域と、一対の半透過ディスプレイ220の仮想表示領域とを説明するための模式的斜視図であり、図7は図6の上面図であり、図8は、図6の側面図である。
三次元空間検知領域4103Dは、赤外線検知ユニット410からの円錐状または角錐状の三次元空間からなる。
また、本実施の形態においては、赤外線検知ユニット410を1個設けることとしているが、これに限定されず、赤外線検知ユニット410を複数個設けてもよいし、赤外線照射素子411を1個、赤外線検知カメラ412を複数個設けてもよい。
すなわち、実際には眼鏡表示装置100の半透過ディスプレイ220に表示されるものの、ユーザは、右目のイメージは右目側の半透過ディスプレイ220を透過し三次元空間領域2203DRで認識し、左目のイメージは左目側の半透過ディスプレイ220を透過し三次元空間領域2203DLで認識する。その結果、認識された両イメージがユーザの脳内で合成されることにより、仮想イメージ表示領域2203Dで仮想イメージとして認識することができる。
また、図8に示すように、一対の半透過ディスプレイ220よりも赤外線検知ユニット410が上方(y軸正方向)に配設されている場合について説明しているが、鉛直方向(y軸方向)に対して、赤外線検知ユニット410の配設位置が半透過ディスプレイ220よりも下方(y軸負方向)または半透過ディスプレイ220と同位置であっても、同様に、仮想イメージ表示領域2203Dは、三次元空間検知領域4103Dと共有する空間領域を有する。
続いて、図9から図11は、図6から図8において示した検知領域と仮想表示領域との他の例を示す模式図である。
この場合、入出力装置900による仮想イメージ表示領域2203Dが、三次元空間検知領域4103Dと共有の空間領域として生じる。
この場合でも、入出力装置900による仮想イメージ表示領域2203Dが、三次元空間検知領域4103Dと共有の空間領域として生じる。
続いて、検知領域における操作領域とジェスチャ領域とについて説明する。図12および図13は、検知領域における操作領域と、ジェスチャ領域との一例を示す模式図である。
また、三次元空間検知領域4103D内における操作領域410c以外の部分で、かつ腕の移動領域Lおよび移動領域Rを合わせた領域と重なる部分をジェスチャ領域410gとして設定する。
次いで、キャリブレーション処理について説明を行なう。図14は、キャリブレーション処理の説明を行なうためのフローチャートである。
また、キャリブレーション処理には、ユーザの個々で異なる指の長さ、手の長さ、腕の長さの調整も行なう。
すなわち、ユーザによりユーザの個々で異なる指の長さ、手の長さ、腕の長さが異なるので、操作領域410cの調整を行なうものである。
なお、ジェスチャ領域410gは、仮想イメージ表示領域2203Dと重ならないように配置しかつ深さ方向(z軸正方向)に厚みを持たせることが好ましい。
そのため、赤外線検知ユニット410からの信号を無処理のまま使用すると、ユーザは、手先が仮想イメージ表示領域2203Dから外れたとしても、そのような状態であることを体感しにくい。
その結果、ユーザは、両腕を最大限に伸ばした状態、または少し曲げた状態で、奥行きのある平面状の仮想イメージ表示領域2203D内の中央部から端部まで操作することができる。
続いて、半透過ディスプレイ220に、像の周囲を指で囲んでくださいと、表示を行なう(ステップS16)。ここで、像の近傍に指の形の像を薄く表示してもよいし、半透過ディスプレイ220に表示を行なう代わりにスピーカから音声により指示をユーザに伝えてもよい。
なお、上記においては、指で矩形を形作り、そのように定められた矩形と、像の外縁の矩形にあわせる。このことによって、指により定められた矩形の視認サイズおよび位置と像の外縁の矩形の視認サイズ及び位置とを合わせることとした。しかしながら、指によって形状を定める手法はこれに限定されず、表示された像の外縁を指でなぞる手法、表示された像の外縁上の複数の点を指で指し示す手法等、他の任意の手法であってもよい。また、これらの手法を複数のサイズの像について行ってもよい。
次いで、指認識について説明を行い、その後掌認識、腕認識の順で説明を行なう。図15は、指認識の一例を示す模式図である。図15において、(A)は指の先端付近の拡大図であり、(B)は指の根元付近の拡大図である。図16は、指認識の処理の一例を示すフローチャートである。
次に、赤外線検知ユニット410により画像データをピクセル単位で距離に置き換える(ステップS23)。この場合、赤外線の明るさは、距離の三乗に反比例する。これを利用し、デプスマップを作成する(ステップS24)。
続いて、二値化した画像データから約100個の頂点を持つポリゴンを作成する(ステップS26)。そして、頂点が滑らかになるようにローパスフィルタ(LPF)により、より多くの頂点pnを有する新たな多角形を作成することによって、図15に示す手の外形OFを抽出する(ステップS27)。
なお、本実施の形態においては、ステップS26において二値化したデータからポリゴンを作成するために抽出する頂点の数を約100個としているが、これに限定されず、1000個、その他の任意の個数であってもよい。
ステップS27で作成した新たな多角形の頂点pnの集合から、Convex Hullを用いて、凸包を抽出する(ステップS28)。
その後、ステップS27で作成された新たな多角形と、ステップS28で作成された凸包との共有の頂点p0を抽出する(ステップS29)。このように抽出された共有の頂点p0自体を指の先端点として用いることができる。
さらに、頂点p0の位置に基づいて算出される他の点を指の先端点として用いてもよい。例えば、図15(A)に示すように頂点p0における外形OFの内接円の中心を先端点P0として算出することもできる。
全ての指について同様の処理を行なうことで、全ての指のスケルトンを得る。これにより、手のポーズを認識することができる。すなわち、親指、人差し指、中指、薬指、小指のいずれの指が広げられ、いずれの指が握られているかを認識することができる。
グラフィック演算ユニット463は、キャリブレーションサービスユニット461を用いてキャリブレーションデータ記録ユニット457を参照し、表示の補正を行なう(ステップS36)。
最後に、ディスプレイ演算ユニット464により半透過ディスプレイ220に表示を行なう(ステップS37)。
次いで、図17は、掌認識の一例を示す模式図である。
次いで、腕認識について説明を行なう。本実施の形態において、腕認識は、指、掌および親指のいずれかを認識した後に実施する。なお、腕認識は、指、掌および親指のいずれかを認識する前、またはそれらの少なくともいずれかと同時に実施してもよい。
その後、抽出した外形に外接する四角枠を選定する。本実施の形態においては、当該四角枠は、平行四辺形または長方形からなる。
この場合、平行四辺形または長方形は、対向する長辺を有するので、長辺の延在方向から腕の延在方向を認識することができ、長辺の向きから腕の向きを判定することが出来る。なお、ステップS32の処理と同様に、直前の数フレームの画像データと比較して、腕の動きを検知させてもよい。
ジェスチャデータ記録ユニット455(図3参照)にストックされるジェスチャデータは、ユーザによって登録される。また、ジェスチャデータは、ユーザによってジェスチャコマンドとして設定され、さらに必要に応じて書換えもされる。
図19は、ジェスチャデータ記録ユニット455へジェスチャデータを登録する処理の一例を示すフローチャートである。
動作の遷移が意図されないジェスチャの場合は、当該ジェスチャのサインを示したまま、ユーザ自身が当該ジェスチャとして意識する態様を逸脱しない程度に手および腕を様々に動かした様子を撮影することができる。
さらに、特徴部の位置および/または角度の値を分析する(ステップS45)。特徴部の位置としては、指先および指の根元を表す点など、対象における解剖学的特徴点を座標情報の付加により表すことができる。また、特徴部の角度としては、指の延在方向および腕の延在方向などに基づいた角度情報の付加により表すことができる。
より具体的には、図16のステップS26からS31と同じ処理が行われる。これによって、全ての指について同様の処理を行なうことで、全ての指のスケルトンを得る。これにより、指の延在方向、具体的には指の関節を中心とした指の角度を認識することができる。また、指先および指の根元等を示す特徴点の位置を、座標情報を付加することにより認識することができる。さらに、手の形態を認識することができる。たとえば、それぞれの指の形態(具体的には、親指、人差し指、中指、薬指、小指のいずれの指が曲げられ、いずれの指が伸びているか等)を認識することができる。
さらに、腕認識によって、腕の延在方向、具体的には肘の関節を中心とした腕の角度を判定することができる。
上述のほか、指先等を示す特徴点の座標の軌跡を含む範囲を求めることによって、可動範囲を導出することができる。
図20は、ジェスチャデータ記録ユニット455において、ジェスチャデータが、当該ジェスチャデータをコマンドとすべきアプリケーションの操作と関連付けられて記録される関連付け処理の一例を示すフローチャートである。
また、たとえば、アプリケーション操作コマンドを呼び出した後に、ジェスチャデータを直接記録させ、関連付ける態様としてもよい。
図21は、ジェスチャデータ記録ユニット455において、ジェスチャコマンドが書換えられる処理の一例を示すフローチャートである。
上述のように記録されたジェスチャデータ記録ユニット455内のジェスチャデータを利用してジェスチャの識別を行なう方法は、図4のステップS1からステップS4で説明した通りである。より具体的には、上述のジェスチャデータ登録時と同様に、ステップS2において、対象の外形イメージデータを複数フレーム取得し、それぞれ、ステップS3において、外形の特徴部およびその可動範囲の情報を取得する。さらに、ステップS4において、ジェスチャデータ記録ユニット455に記録されたジェスチャデータの外形の特徴部およびその可動範囲と、識別すべきジェスチャの外形の特徴部およびその可動範囲とを比較する。双方のデータの一致性を判断することによって、識別すべきジェスチャが、ジェスチャデータ記録ユニット455に記録されたジェスチャデータのうちどれに該当するかを判断する。
次に、図22は、眼鏡表示装置100の半透過ディスプレイ220の表示の一例を示す模式図である。
次に、眼鏡表示装置100の半透過ディスプレイ220に表示される表示の一例について説明を行なう。図23(a)は、半透過ディスプレイ220の視野の一例、図23(b)は、半透明ディスプレイ220の表示の一例を説明する図である。
図23に示すように、縦方向に表示703、702、701、704、705の表示が設けられており、表示701を中央として、左右に表示706,707が設けられる。なお、当然のことながら、当該表示701,~,707は、ユーザによって自由に削除または変更することができ、さらに他の表示を追加することもできる。
なお、本実施の形態においては、表示701,~,707はシームレスに連続した画像であるが、切換えされるべき表示は、それぞれが独立した非連続の像であってもよい。
一方、天空情報の表示703および地図情報の表示705はパノラマ表示であってよく、この場合、左右方向の動きに伴ってそれら表示703,705をスクロールさせてよい。
続いて、指、掌、手、腕が操作領域410cに存在する場合と、ジェスチャ領域410gに存在する場合との違いをユーザが認識し易いように、所定のイベントを発生させる。以下、所定のイベントについて説明を行なう。図24は、所定のイベント発生の一例を示す模式図であり、図25は、図24のイベント発生の他の例を示す模式図であり、図26は、他のイベント発生の一例を示す模式図である。
これにより、ユーザは、ジェスチャ領域410gに手が存在することを容易に認識できる。
以上の指、掌、腕認識およびイベント発生を伴う眼鏡表示装置100の使用態様について説明する。
例えば、広告221には、店舗の、商品、サービス等の情報が表示されている。ユーザがその広告221をタッチした場合、当該店舗に関するさらに詳しい情報を追加表示させてもよい。たとえば、飲食店の場合には、当該飲食店の代表メニュ、ユーザからの評価、価格帯等を表示させてもよい。
なお、広告221は、店舗をカメラユニット303で撮影された像そのものであってもよいし、カメラユニット303による当該店舗の撮像データに基づいて店舗認識を自動で開始し、その結果、店舗認識アプリ画面に表示された認識結果情報であってもよい。
また、図28に示すように、半透過ディスプレイ220に一の企業(○○社)のロゴマークが表示されている際に、画面中のロゴマークにタッチ等行なうことで、競合又は非競合の他の企業(△△社)に関連する情報を表示させることができる。この場合、例えばパロディモードとして、当該他の企業のロゴを表示させてもよい。
また、ユーザがジェスチャ領域410g内で所定の手のポーズを作ることにより、予め設定された動作が実施される。図29から図36は、ジェスチャ認識の例を示す模式図である。
Claims (23)
- 所定の形態を有する対象の外形を検知する外形検知部と、
検知された前記対象の外形から、少なくとも、外形特徴部の分析と、前記外形特徴部の位置および方向の少なくともいずれかの値の分析と、を行なう分析部と、
前記分析部による結果をジェスチャデータとして記録する記録部と、を含む、ジェスチャ登録装置。 - 前記ジェスチャデータを前記記録部から削除する削除部をさらに含む、請求項1に記載のジェスチャ登録装置。
- 前記ジェスチャデータを、所定の操作と関連付けて前記記録部に記録させる関連付け部をさらに含む、請求項1または2に記載のジェスチャ登録装置。
- 前記ジェスチャデータと前記所定の操作との関連付けを解除する解除部をさらに含む、請求項3に記載のジェスチャ登録装置。
- 前記外形検知部は、経時変化を伴う一連の前記対象の外形を検知し、
前記分析部において、前記外形特徴部の経時的変化の分析がさらに行なわれる、請求項1から4のいずれか1項に記載のジェスチャ登録装置。 - 前記外形検知部は、前記対象の外形を複数回検知する、請求項1から5のいずれか1項に記載のジェスチャ登録装置。
- 前記対象が、少なくとも指、掌、手、腕および肘のいずれかを含む人体の一部である、請求項1から6のいずれか1項に記載のジェスチャ登録装置。
- 前記外形検知部が動画撮影装置であり、
前記外形検知部は、前記所定の形態を有する対象を所定時間連続的に撮像することによって、一連の外形を検知する、請求項1から7のいずれか1項に記載のジェスチャ登録装置。 - 前記外形検知部が静止画撮影装置であり、
前記外形検知部は、前記所定の形態を有する対象を複数回撮像することによって、複数の外形を検知する、請求項1から7のいずれか1項に記載のジェスチャ登録装置。 - 前記外形特徴部が、少なくとも、所定の形態の指の数、位置、角度および腕の角度のいずれかである、請求項7から9のいずれか1項に記載のジェスチャ登録装置。
- 請求項1から10のいずれか1項に記載のジェスチャ登録装置を含む、ヘッドマウントディスプレイデバイス。
- 所定の形態を有する対象の外形を検知する外形検知処理と、
検知された前記対象の外形から、少なくとも、外形特徴部の分析と、前記外形特徴部の位置および方向の少なくともいずれかの値の分析とを行なう分析処理と、
前記分析処理による結果をジェスチャデータとして記録する記録処理と、を含む、ジェスチャ登録プログラム。 - 前記ジェスチャデータを削除する削除処理をさらに含む、請求項12に記載のジェスチャ登録プログラム。
- 前記ジェスチャデータを、所定の操作と関連付けて記録させる関連付け処理をさらに含む、請求項12または13に記載のジェスチャ登録プログラム。
- 前記ジェスチャデータと前記所定の操作との関連付けを解除する解除処理をさらに含む、請求項14に記載のジェスチャ登録プログラム。
- 前記外形検知処理が動画撮影処理であり、
前記外形検知処理は、前記所定の形態の対象を所定時間連続的に撮像することによって一連の外形を検知する処理を含む、請求項12から15のいずれか1項に記載のジェスチャ登録プログラム。 - 前記外形検知処理が静止画撮影処理であり、
前記外形検知処理は、前記所定の形態の対象を複数回撮像することによって複数の外形を検知する処理を含む、請求項12から15のいずれか1項に記載のジェスチャ登録プログラム。 - 所定の形態を有する対象の外形を検知する外形検知工程と、
検知された前記対象の外形から、少なくとも、外形特徴部の分析と、前記外形特徴部の位置および方向の少なくともいずれかの値の分析とを行なう分析工程と、
前記分析工程による結果をジェスチャデータとして記録する記録工程と、を含む、ジェスチャ登録方法。 - 前記ジェスチャデータを削除する削除工程をさらに含む、請求項18に記載のジェスチャ登録方法。
- 前記所定の形態を表すジェスチャデータを、所定の操作と関連付けて記録させる関連付け工程をさらに含む、請求項18または19に記載のジェスチャ登録方法。
- 前記所定の形態を表すジェスチャデータと前記所定の操作との関連付けを解除する解除工程をさらに含む、請求項20に記載のジェスチャ登録方法。
- 前記外形検知工程が動画撮影工程であり、前記所定の形態の対象を所定時間連続的に撮像することによって一連の外形を検知する工程を含む、請求項18から21のいずれか1項に記載のジェスチャ登録方法。
- 前記外形検知工程が静止画撮影工程であり、前記所定の形態の対象を複数回撮像することによって複数の外形を検知する工程を含む、請求項18から21のいずれか1項に記載のジェスチャ登録方法。
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US20160004908A1 (en) | 2016-01-07 |
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