CN104906776B - Somatosensory motion points-scoring system, device and method - Google Patents
Somatosensory motion points-scoring system, device and method Download PDFInfo
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- CN104906776B CN104906776B CN201410091458.2A CN201410091458A CN104906776B CN 104906776 B CN104906776 B CN 104906776B CN 201410091458 A CN201410091458 A CN 201410091458A CN 104906776 B CN104906776 B CN 104906776B
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Abstract
The present invention provides a kind of somatosensory motion points-scoring system, device and method, which is used to respond user instruction, is obtained from camera unit in captured somatosensory motion video per the corresponding static images of frame；Calculate the corresponding every frame of every frame static images for getting and preset deviation between static images；Deviation section where determination deviation；Fractional value according to corresponding to deviation section determines every frame static images is summed with to the corresponding fractional value of every frame static images；And value of flashing is in display unit.The present invention somatosensory motion points-scoring system, device and method so that user can quickly understand its current somatosensory motion whether standard.
Description
Technical field
The present invention relates to body-sensing technology field, more particularly to a kind of somatosensory motion points-scoring system, device and method.
Background technology
Current user is typically to carry out somatosensory motion with the help of body-sensing coach, or in standard somatosensory motion video
Guiding under carry out somatosensory motion, but when coach is absent from the scene, the somatosensory motion that user is done with somatosensory motion video acts
Whether standard, user, which is not usually readily, to be discovered, so allow for user can not understand the action of oneself whether standard.
The content of the invention
In consideration of it, it is necessary to provide a kind of somatosensory motion points-scoring system, device and method, it is intended to solves above-mentioned not determining
Somatosensory motion whether standard the problem of.
The present invention is used to provide a kind of somatosensory motion points-scoring system, and on an electronic device, which fills the system operation
Put including storage unit, display unit and camera unit, which is used to shoot the somatosensory motion when previous user's limbs
Video, the somatosensory motion video are made of multiframe static images.The storage unit is used to store a default somatosensory motion video
And multiple deviation sections, it is made of the default somatosensory motion video the default static images of multiframe, per the default static state of frame
Picture is corresponded with every frame static images in the somatosensory motion video photographed, and each deviation section corresponds to a fractional value,
The somatosensory motion points-scoring system includes：
Picture acquisition module, for responding a user instruction, obtains captured somatosensory motion video from camera unit
In per frame corresponding static images；
Deviation computing module, for calculate the corresponding every frame of every frame static images for getting preset static images it
Between deviation；
Deviation interval determination module, for the deviation section where the deviation that determines to calculate；
Fraction determining module, for the fractional value corresponding to determining every frame static images according to identified deviation section,
And to summing to obtain the fractional value of the somatosensory motion video per the corresponding fractional value of frame static images in somatosensory motion video；And
Display module, for showing the fractional value of the somatosensory motion video in the display unit.
The present invention also provides a kind of somatosensory motion scoring apparatus, which includes camera unit, storage unit, display unit
And processing unit, the camera unit are used to shoot the somatosensory motion video when previous user's limbs, the somatosensory motion video is by more
Frame static images form, which is used to store a default somatosensory motion video and multiple deviation sections, this is default
It is made of somatosensory motion video the static images of multiframe, in every default static images of frame and the somatosensory motion video photographed
Every frame static images correspond, each deviation section corresponds to a fractional value, which is used to respond a user instruction,
It is static that the every frame for, per the corresponding static images of frame, calculating and getting in captured somatosensory motion video is obtained from camera unit
The corresponding every frame of picture presets the deviation between static images, determines the deviation section where the deviation that calculates, according to
Identified deviation section determines the fractional value corresponding to every frame static images, and to the static map in somatosensory motion video per frame
The corresponding fractional value of piece sums to obtain the fractional value of the somatosensory motion video；And show the fractional value of the somatosensory motion video in this
Display unit.
The present invention also provides a kind of somatosensory motion methods of marking, this method runs on an electronic device, the electronic device bag
A storage unit, a display unit and a camera unit are included, which is used to shoot when the body-sensing of previous user's limbs is transported
Dynamic video, the somatosensory motion video are made of multiframe static images.The storage unit is used for one default somatosensory motion of storage and regards
Frequency and multiple deviation sections, it is made of the default somatosensory motion video the default static images of multiframe, default quiet per frame
State picture is corresponded with every frame static images in the somatosensory motion video photographed, and each deviation section corresponds to a fraction
Value, this method comprise the following steps：
A user instruction is responded, is obtained from camera unit in captured somatosensory motion video per the corresponding static map of frame
Piece；
Calculate the corresponding every frame of every frame static images for getting and preset deviation between static images；
Determine the deviation section where the deviation that calculates；
Fractional value according to corresponding to identified deviation section determines every frame static images, and in somatosensory motion video
The corresponding fractional value of static images per frame sums to obtain the fractional value of the somatosensory motion video；And
Show the fractional value of the somatosensory motion video in the display unit.
Somatosensory motion points-scoring system, the device and method of the present invention, it is operated according to the input of user, determines user per frame
Fractional value corresponding to static images and the corresponding fractional value of every frame static images is summed to obtain the user's somatosensory motion video
Fractional value so that user can be understood according to the height of fractional value itself action whether reach standard.
Brief description of the drawings
Fig. 1 is a kind of structure flow chart of somatosensory motion points-scoring system.
Fig. 2 is a kind of method flow diagram of somatosensory motion scoring.
Main element symbol description
| Somatosensory motion points-scoring system | 1 |
| Electronic device | 2 |
| Camera unit | 21 |
| Storage unit | 22 |
| Display unit | 23 |
| Processing unit | 3 |
| Picture acquisition module | 31 |
| Deviation computing module | 32 |
| Deviation interval determination module | 33 |
| Fraction determining module | 34 |
| Display module | 35 |
| Picture division module | 36 |
Following embodiment will combine above-mentioned attached drawing and further illustrate the present invention.
【Embodiment】
Fig. 1 is a kind of hardware structure diagram of somatosensory motion points-scoring system 1.The somatosensory motion points-scoring system 1 runs on an electricity
In sub-device 2.The electronic device 2 includes a camera unit 21, a storage unit 22, a display unit 23 and a processing unit 3.
The camera unit 21 is used to shoot the somatosensory motion video when previous user's limbs, and the somatosensory motion video is by multiframe static images
Composition, the storage unit 22 are used to store a default somatosensory motion video and multiple deviation sections.The default somatosensory motion
Video is preset static images by multiframe and is formed.In present embodiment, which is the body-sensing of a standard
Sport video.Each deviation section corresponds to a fractional value.In present embodiment, which is desktop computer, smart television
Etc. various electronic products.
The somatosensory motion points-scoring system is a computer executable program, it includes several modules.Several modules
The unit 3 that can be processed is run.Some modules include a picture acquisition module 31, a deviation computing module 32, an inclined section
Determining module 33, a fraction determining module 34 and a display module 35.
The picture acquisition module 31 is used to respond a user instruction, and captured somatosensory motion is obtained from camera unit 21
Per the corresponding static images of frame in video.It is corresponding that the deviation computing module 32 is used for every frame static images that calculating is got
Every frame preset deviation between static images.The deviation interval determination module 33 is used to determining inclined where the deviation that calculates
Poor section.The fraction determining module 34 is used for the fraction according to corresponding to identified deviation section determines every frame static images
Value, and to summing to obtain the fractional value of the somatosensory motion video per the corresponding fractional value of frame static images in somatosensory motion video.
The fractional value that the display module 35 is used to show the somatosensory motion video is in the display unit 23.In the present embodiment, this is aobvious
Show module 35 also while show the somatosensory motion video photographed and default somatosensory motion video in the display unit 23, but
Be in other embodiments, the display module 35 also can according to user needs come show shooting somatosensory motion video and its
Corresponding fractional value, or the default somatosensory motion video of display and the fractional value calculated.
In the present embodiment, which is two
The distance between person tolerance and direction tolerance, each deviation section include one apart from tolerance subinterval and a direction tolerance sub-district
Between.In other embodiments, deviation between the two is not limited to this, it is alternatively variance between the two or apart from appearance
Weighted value of difference and direction tolerance etc..It is corresponding that the deviation computing module 32 is additionally operable to every frame static images that calculating is got
Every frame preset the distance between static images tolerance and direction tolerance.The deviation interval determination module 33 is additionally operable to determine one
Deviation section, wherein this apart from tolerance in the deviation section determined in tolerance subinterval, direction tolerance determine
In the direction tolerance subinterval in the deviation section gone out.The fraction determining module 34 is additionally operable to be determined according to identified deviation section
Per the fractional value corresponding to frame static images, and to summing to obtain per the corresponding fractional value of frame static images in somatosensory motion video
The fractional value of the somatosensory motion video.
In the present embodiment, this is made of per frame static images multiple limbs sub-pictures.This presets static images per frame
Also it is made of multiple default limbs sub-pictures.Some modules further include a picture division module 36.
The picture division module 36 is used to the every frame static images got being divided into multiple limbs sub-pictures.In this reality
Apply in mode, which is divided into multiple limbs subgraphs according to the human body contour outline of user by the static images of user
Piece is the prior art, therefore this will not be detailed here.It is right with it that the deviation computing module 32 is additionally operable to calculate each limbs sub-pictures
The distance between the default limbs sub-pictures answered tolerance and direction tolerance.The deviation interval determination module 33 is additionally operable to determine one
Deviation section, wherein the limbs sub-pictures apart from tolerance in the deviation section determined in tolerance subinterval, the limb
The direction tolerance of body sub-pictures is in the direction tolerance subinterval in the deviation section determined.The fraction determining module 34 is additionally operable to
The corresponding fractional value of each limbs sub-pictures is determined according to identified deviation section, each limbs sub-pictures under every frame are corresponded to
Fractional value sum to obtain the corresponding fractional value of every frame static images, and the static images in somatosensory motion video per frame are corresponded to
Fractional value sum to obtain the fractional value of the somatosensory motion video.
Fig. 2 is a kind of method flow diagram of somatosensory motion scoring.
Step S601, the picture acquisition module 31 respond a user instruction, and captured body is obtained from camera unit 21
Per the corresponding static images of frame in nyctinastic movement video.
Step S602, the deviation computing module 32 calculate the corresponding every frame of every frame static images for getting preset it is quiet
Deviation between state picture.
Step S603, the deviation interval determination module 33 determine the deviation section where the deviation that calculates.
Step S604, the fraction determining module 34 is according to corresponding to identified deviation section determines every frame static images
Fractional value, and the corresponding fractional value of static images in somatosensory motion video per frame is summed to obtain point of the somatosensory motion video
Numerical value.
Step S605, the display module 35 show the fractional value of the somatosensory motion video in the display unit 23.
Further, this method is further comprising the steps of：The deviation computing module 32 calculates the every frame static images got
The distance between static images tolerance and direction tolerance are preset with every frame.The deviation interval determination module 33 determines a deviation area
Between, wherein this apart from tolerance in the deviation section determined in tolerance subinterval, direction tolerance is inclined what is determined
In the direction tolerance subinterval in poor section.
Further, this method is further comprising the steps of：The corresponding static state of every frame that the picture division module 36 will be got
Picture is divided into multiple limbs sub-pictures.The deviation computing module 32 calculates each limbs sub-pictures and default limbs sub-pictures
Apart from tolerance and direction tolerance.The deviation interval determination module 33 is additionally operable to determine a deviation section, wherein the limbs subgraph
Piece apart from tolerance in the deviation section determined in tolerance subinterval, the direction tolerances of the limbs sub-pictures is determining
In the direction tolerance subinterval in the deviation section gone out.The fraction determining module 34 is additionally operable to be determined according to identified deviation section
Each corresponding fractional value of limbs sub-pictures, sums the corresponding fractional value of each limbs sub-pictures under every frame to obtain every frame static state
The corresponding fractional value of picture, and to summing to obtain the somatosensory motion per the corresponding fractional value of frame static images in somatosensory motion video
The fractional value of video.
Claims (9)
1. a kind of somatosensory motion points-scoring system, on an electronic device, which includes storage unit, shows the system operation
Show unit and camera unit, which is used to shoot the somatosensory motion video when previous user's limbs, which regards
Frequency is made of multiframe static images, which is used to store a default somatosensory motion video and multiple deviation sections, should
Default somatosensory motion video is made of the default static images of multiframe, is transported per the default static images of frame with the body-sensing photographed
Every frame static images in dynamic video correspond, and each deviation section corresponds to a fractional value, it is characterised in that each deviation
Section includes one to be included apart from tolerance subinterval and direction tolerance subinterval, the somatosensory motion points-scoring system：
Picture acquisition module, for responding a user instruction, obtains every in captured somatosensory motion video from camera unit
The corresponding static images of frame；
Deviation computing module, presets between static images for calculating the corresponding every frame of every frame static images for getting
Deviation, the wherein deviation are included apart from tolerance and direction tolerance；
Deviation interval determination module, for the deviation section where the deviation that determines to calculate, wherein this is being determined apart from tolerance
The deviation section gone out in tolerance subinterval, direction tolerance is in the direction tolerance subinterval in the deviation section determined
It is interior；
Fraction determining module, for the fractional value corresponding to determining every frame static images according to identified deviation section, and it is right
The corresponding fractional value of static images in somatosensory motion video per frame sums to obtain the fractional value of the somatosensory motion video；And
Display module, for showing the fractional value of the somatosensory motion video in the display unit.
2. somatosensory motion points-scoring system as claimed in claim 1, it is characterised in that：The display module is additionally operable to show this at the same time
The somatosensory motion video and default somatosensory motion video photographed is in display unit.
3. somatosensory motion points-scoring system as claimed in claim 1, it is characterised in that：This is per frame static images by multiple limbs
Picture forms, this is preset static images per frame and is also made of multiple default limbs sub-pictures, which also wraps
Picture division module is included, its corresponding static images of every frame for being used to get is divided into multiple limbs sub-pictures, the deviation
Computing module, is additionally operable to calculate the distance between the corresponding default limbs sub-pictures of each limbs sub-pictures tolerance and direction
Tolerance；The deviation interval determination module, is additionally operable to determine a deviation section, wherein the limbs sub-pictures apart from tolerance true
The deviation section made in tolerance subinterval, the direction tolerance of the limbs sub-pictures is in the side in the deviation section determined
Into tolerance subinterval；The fraction determining module, is additionally operable to determine each limbs sub-pictures pair according to identified deviation section
The fractional value answered, sums to obtain the corresponding fraction of every frame static images to the corresponding fractional value of each limbs sub-pictures under every frame
Value, and the corresponding fractional value of static images in somatosensory motion video per frame is summed to obtain the fraction of the somatosensory motion video
Value.
4. a kind of somatosensory motion scoring apparatus, the somatosensory motion scoring apparatus include camera unit, storage unit, display unit and
Processing unit, the camera unit are used to shoot the somatosensory motion video when previous user's limbs, and the somatosensory motion video is by multiframe
Static images form, which is used to store a default somatosensory motion video and multiple deviation sections, each deviation area
Between a corresponding fractional value, which includes one apart from tolerance subinterval and direction tolerance subinterval, the processing unit
For responding a user instruction, obtained from camera unit per the corresponding static images of frame in captured somatosensory motion video,
Calculate the corresponding every frame of every frame static images for getting and preset deviation between static images, wherein the deviation including away from
From tolerance and direction tolerance, determine the deviation section where the deviation that calculates, wherein this apart from tolerance in the deviation determined
Section in tolerance subinterval, direction tolerance is in the direction tolerance subinterval in the deviation section determined, according to institute
Definite deviation section determines the fractional value corresponding to every frame static images, and to the static images in somatosensory motion video per frame
Corresponding fractional value sums to obtain the fractional value of the somatosensory motion video；And show that the fractional value of the somatosensory motion video is aobvious in this
Show unit.
5. somatosensory motion scoring apparatus as claimed in claim 4, it is characterised in that：The processing unit is additionally operable to get
Multiple limbs sub-pictures are divided into per the corresponding static images of frame, calculate each limbs sub-pictures and default limbs sub-pictures away from
From tolerance and direction tolerance, determine a deviation section, wherein the limbs sub-pictures apart from tolerance in the deviation area determined
Between in tolerance subinterval, the direction tolerance of the limbs sub-pictures is in the direction tolerance subinterval in the deviation section determined
It is interior, the corresponding fractional value of each limbs sub-pictures is determined according to identified deviation section, to each limbs sub-pictures under every frame
Corresponding fractional value sums to obtain the corresponding fractional value of every frame static images, and to the static images in somatosensory motion video per frame
Corresponding fractional value sums to obtain the fractional value of the somatosensory motion video.
6. somatosensory motion scoring apparatus as claimed in claim 4, it is characterised in that：The processing unit is additionally operable to show the shooting
The somatosensory motion video and default somatosensory motion video arrived is in display unit.
7. a kind of somatosensory motion methods of marking, this method run on an electronic device, which includes storage unit, display
Unit and camera unit, the camera unit are used to shoot the somatosensory motion video when previous user's limbs, the somatosensory motion video
It is made of multiframe static images, which is used to store a default somatosensory motion video and multiple deviation sections, this is pre-
If somatosensory motion video its be made of the default static images of multiframe, transported per the default static images of frame with the body-sensing that photographs
Every frame static images in dynamic video correspond, and each deviation section corresponds to a fractional value, which includes one
Apart from tolerance subinterval and direction tolerance subinterval, it is characterised in that：This method comprises the following steps：
A user instruction is responded, is obtained from camera unit in captured somatosensory motion video per the corresponding static images of frame；
Calculate the deviation between the static images of every frame that get and default static images per frame, wherein the deviation including away from
From tolerance and direction tolerance；
Determine the deviation section where the deviation that calculates, wherein this apart from tolerance in the deviation section determined apart from tolerance
In subinterval, direction tolerance is in the direction tolerance subinterval in the deviation section determined；
Fractional value according to corresponding to identified deviation section determines every frame static images, and to every frame in somatosensory motion video
The corresponding fractional value of static images sum to obtain the fractional value of the somatosensory motion video；And
Show the fractional value of the somatosensory motion video in the display unit.
8. somatosensory motion methods of marking as claimed in claim 7, it is characterised in that:This method is further comprising the steps of：
Show the somatosensory motion video being photographed and default somatosensory motion video in display unit.
9. somatosensory motion methods of marking as claimed in claim 7, it is characterised in that：The static images of every frame are by multiple limbs
Sub-pictures form, and the default static images of every frame are also made of multiple default limbs sub-pictures, which determines somatosensory motion
The fractional value of video is specially：
The corresponding static images of every frame got are divided into multiple limbs sub-pictures；
Each limbs sub-pictures are calculated with default limbs sub-pictures apart from tolerance and direction tolerance；
Determine a deviation section, wherein the limbs sub-pictures is sub apart from tolerance in the deviation section determined apart from tolerance
In section, the direction tolerance of the limbs sub-pictures is in the direction tolerance subinterval in the deviation section determined；
The corresponding fractional value of each limbs sub-pictures is determined according to identified deviation section, to each limbs sub-pictures under every frame
Corresponding fractional value sums to obtain the corresponding fractional value of every frame static images, and to the static images in somatosensory motion video per frame
Corresponding fractional value sums to obtain the fractional value of the somatosensory motion video.
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| CN114237777A (en) * | 2020-09-09 | 2022-03-25 | 乔山健身器材（上海）有限公司 | Dynamic leader list and dynamic evaluation system for online sports and display interface |
| CN113420426A (en) * | 2021-06-03 | 2021-09-21 | 北京首钢股份有限公司 | Method, device, medium and computer equipment for determining forward running condition of blast furnace |
| CN115472039B (en) * | 2021-06-10 | 2024-03-01 | 上海博泰悦臻网络技术服务有限公司 | Information processing method and related product |
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| JP2010175754A (en) * | 2009-01-28 | 2010-08-12 | Yamaha Corp | Attitude evaluating device, attitude evaluating system and program |
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| CN1679990A (en) * | 2004-04-05 | 2005-10-12 | 因特斯特鲁克图雷株式会社 | Form evaluation system and method |
| CN103282907A (en) * | 2010-11-05 | 2013-09-04 | 耐克国际有限公司 | Method and system for automated personal training |
| CN103390174A (en) * | 2012-05-07 | 2013-11-13 | 深圳泰山在线科技有限公司 | Physical education assisting system and method based on human body posture recognition |
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Effective date of registration: 20201014 Address after: 215600 Zhangjiagang Economic Development Zone (hi tech Innovation Service Center), Jiangsu, Suzhou Province Patentee after: ZHANGJIAGANG HONGJIA DIGITAL TECHNOLOGY Co.,Ltd. Address before: 518109 Guangdong city of Shenzhen province Baoan District Guanlan Street third community Guanlan Foxconn Technology Park B District, building 4, building 6, building 7, building 13, (I) Patentee before: Fu Tai Hua Industry (Shenzhen) Co.,Ltd. Patentee before: HON HAI PRECISION INDUSTRY Co.,Ltd. |