WO2014180765A1 - Sensorsystem und verfahren zur aufnahme eines handvenenmusters - Google Patents
Sensorsystem und verfahren zur aufnahme eines handvenenmusters Download PDFInfo
- Publication number
- WO2014180765A1 WO2014180765A1 PCT/EP2014/059058 EP2014059058W WO2014180765A1 WO 2014180765 A1 WO2014180765 A1 WO 2014180765A1 EP 2014059058 W EP2014059058 W EP 2014059058W WO 2014180765 A1 WO2014180765 A1 WO 2014180765A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- sensor system
- vein pattern
- hand
- feature vector
- topography
- Prior art date
Links
- 210000003462 vein Anatomy 0.000 title claims abstract description 65
- 238000000034 method Methods 0.000 title claims description 24
- 238000012876 topography Methods 0.000 claims abstract description 38
- 239000013598 vector Substances 0.000 claims abstract description 38
- 230000005670 electromagnetic radiation Effects 0.000 claims description 7
- 230000001678 irradiating effect Effects 0.000 claims description 3
- 238000013475 authorization Methods 0.000 description 3
- 230000006854 communication Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
- G06V40/1312—Sensors therefor direct reading, e.g. contactless acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
- G06K19/06—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
- G06K19/067—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components
- G06K19/07—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components with integrated circuit chips
- G06K19/0723—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components with integrated circuit chips the record carrier comprising an arrangement for non-contact communication, e.g. wireless communication circuits on transponder cards, non-contact smart cards or RFIDs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
- G06T7/55—Depth or shape recovery from multiple images
- G06T7/586—Depth or shape recovery from multiple images from multiple light sources, e.g. photometric stereo
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/20—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from infrared radiation only
- H04N23/21—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from infrared radiation only from near infrared [NIR] radiation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/30—Transforming light or analogous information into electric information
- H04N5/33—Transforming infrared radiation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10141—Special mode during image acquisition
- G06T2207/10152—Varying illumination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30101—Blood vessel; Artery; Vein; Vascular
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/14—Vascular patterns
Definitions
- the invention relates to a sensor system for receiving a Handvenenmusters and a method for receiving a Handvenenmusters.
- the object of the present invention is to provide an improved sensor system and an improved method for recording palm vein patterns.
- a sensor system which comprises a light source, a camera, a topography sensor and a processor unit.
- the first light source is designed to emit electromagnetic waves in the near infrared region over its entire surface, which can be reflected by veins in one hand.
- the camera comprises a camera chip and is designed and arranged to receive reflection signals of electromagnetic waves in such a way that it can receive radiation reflected by one hand during operation of the sensor system.
- the camera is also designed to process the recorded reflection signals to corresponding image data.
- the topography sensor is designed and arranged to receive topographical data of the hand during operation.
- the processor unit is connected to the camera chip and the topography sensor and designed, using the image data and the topography data to calculate a normalized venous pattern of the hand.
- the invention relates to a method for receiving a hand vein pattern.
- the method comprises the steps of irradiating a hand with a first light source which emits electromagnetic radiation in the near infrared region over its entire surface, which can be reflected by veins in one hand, recording reflection signals of the veins, generating image data corresponding to the reflection signals, recording topographical data of the Hand and generate a normalized venous pattern of the hand or a characteristic vector corresponding to the venous pattern from the image data and the topography data.
- the invention includes the realization that a vein pattern in a normal position can be calculated by the combination of topography data and recorded venous pattern, so that the vein pattern output by the sensor system is independent of the position and spread of the hand to the sensor system.
- the topographical data and the vein pattern are linked to one another on the processor unit in such a way that a normalized vein pattern as well as a normalized hand gesture mode, ie a normalized topography of the hand, can be calculated. It is therefore a location normalization in space.
- the hand geometry as well as the vein ramification are both spatial structures whose 2D-imaging on a camera chip depends on its spatial position (twisting, tilting, curvature etc.). In this way, a venous detection system can be constructed which is tolerant to the hand position and does not require any mechanical constraints for the hand.
- the device according to the invention and the method according to the invention can be used both for venous patterns of the palm of the hand and for venous patterns of the back of the hand.
- the sensor system has an additional processor unit, which is designed to compare the vein pattern calculated by the first processor unit or the calculated feature vector with at least one stored vein pattern or with at least one stored feature vector and the calculated vein pattern or the calculated feature vector as sufficient to classify consistently or not sufficiently consistently. With the help of the standardized vein pattern, a classification can thus be made independently of the position and spread of the hand.
- the topography sensor emits a second light source which emits electromagnetic radiation in the infrared range in the form of a structure image, a second camera chip for receiving reflection signals of electromagnetic waves and a calculation unit which is formed from the recorded reflection data Calculating topography includes.
- the second light source emits a structured light image, for example with a striped or dot structure, and projects this light image onto the hand.
- the reflected structure image is then imaged on the camera chip.
- the signal of the camera chip of this figure depends on both the structure of the palm (bulges) and the position of the hand in space (twisting, tilting).
- the recording with the structured light allows the calculation unit to use the calculation of triangulation equations to detect the position and to return the structure image to the standard position or to convert it into a feature vector and make it available for a later comparison.
- a standardized vein pattern can then be calculated with the aid of the position information thus obtained.
- the sensor system has a camera chip, which works both as a first and as a second camera chip.
- the first light source and the second light source alternately emit electromagnetic waves in direct succession from image to image or sub-images so that a complete vein image (first light source) and a structure image (second light source) are recorded immediately after one another.
- the first processor unit is designed to calculate a distance from the reflection signals in a rest mode of the sensor system in which only the second light source emits electromagnetic waves at regular time intervals in the range of, for example, 1 to 2 seconds and falls below a predetermined minimum value. distance to start irradiation with the first light source. This allows one efficient operation of the system, since the irradiation with the first light source and calculations are performed only when an object is in the irradiated area.
- the topography sensor is a time-of-flight sensor. This determines for each pixel, the distance of an object from the sensor by the transit time of an infrared light pulse is detected and calculated by the speed of light, the distance.
- the additional processor unit is an RFID (radio-frequency identification) host processor and the comparison takes place with a vein pattern or feature vector stored in an RFID slave processor.
- RFID radio-frequency identification
- a classification is only possible if a connection channel has been established between the RFI D host processor and an RFID slave processor. This allows identification without the storage of data in a database system and thus greater security, since both the valid vein pattern and the RFID slave processor must be present for identification on the sensor system.
- the alternative embodiment of the RFID host processor can be replaced by another type of connection processor which realizes at least one active radio link capability, preferably according to the known standards WLAN, Bluetooth, ZigBee or NFC.
- the slave processor is also provided with at least the same active radio communication capability as the host processor.
- the comparison takes place as described with respect to RFID with a stored in the slave processor vein pattern or feature vector.
- a release unit connected to the sensor system is designed to allow access to a downstream system, for example to a bank system or another input system, in the case of a vein pattern or feature vector classified as sufficiently coincident. But access authorizations, for example, to premises or public transport facilities can be advantageously issued by the release unit.
- a development of the invention relates to a bracelet with an integrated slave processor, wherein the slave processor contains information about a deposited venous pattern or a stored feature vector and is able to communicate with a host processor of the described sensor system.
- the slave processor is an integrated RFID slave processor, wherein the RFID slave processor includes information about a stored venous pattern or stored feature vector and is capable of communicating with an RFI D host processor of the described sensor system.
- said bracelet with an integrated RFID slave processor can also be a bracelet with an active slave processor, in other words an actively supplied processor, occur, which has a deposited venous pattern or a feature vector and an active radio communication capability preferably according to one of the known standards WLAN , Bluetooth, ZigBee or NFC.
- the active slave processor is designed such that the deposited venous pattern or the deposited feature vector can not be read without authorization, preferably a TEE (Trusted Execution Environment) can be used for this purpose.
- Smart watches or smart bracelets could also be called smart watches or smart bracelets (smart watch, wristband, wearbale wristband, etc.).
- Smart watches or wristbands are wrist-worn computers that have wireless connectivity and can send certain messages to their users.
- the user who also carries this smart bracelet, gets access to the desired system without having to reveal his person. This aspect is essential under data protection law. If the user approaches an access point containing the sensor system and holds his hand in front of the sensor system on which he also wears the wristband, the sensor is activated. Through the established RF channel or radio channel, the RFID host processor or the active host processor sends the calculated vein pattern or feature vector to the bracelet. This is followed by the already described identification mechanism. In such a system application, the bracelet can be used, for example, as a bank card, monthly ticket in local transport, long-distance ticket, boarding card in air traffic or as a passport for access authorization.
- a particular advantage of the bracelet described is that even with a loss of the smart bracelet no abuse possibility arises.
- the bracelet can only be used in conjunction with the hand vein pattern. But since no personal identifiable data is stored on the bracelet, a lost bracelet is worthless.
- the slave processor in particular the RFID slave processor or the active slave processor, also contain an additional code which can only be read out or sent after the identification of a calculated vein pattern or feature vector as sufficiently matching.
- the sensor system is mounted on a keyboard.
- a venous pattern is detected in the back of the hand, this allows easy identification even during an input process.
- the second processor unit of the sensor system is designed and connected to the keyboard, that whenever a key is struck, a verification process of the vein pattern can be triggered simultaneously.
- the input of the character or a group of characters is only recognized as valid if the vein verification is detected as sufficiently coincidental.
- the sensor system can also be integrated in a keyboard and use a venous pattern of the palm of the hand for identification.
- the keyboard is in this case designed so that the palm of the hand, always hover over the user-facing part of the keyboard or can rest on this, while the fingers can reach the keys. So it is chosen a deliberately narrow arrangement of keys. Number keys or other function keys are created either to the right or to the left of the letter keys.
- an inventive sensor system can be integrated in each case for the left and right hand.
- the sensor system is preferably designed such that it can detect the vein structure with a very short distance to the palm, it is capable of the palm of the hand with an extension of up to 120 mm at a distance from the Sensor surface from 5 mm to 20 mm to capture.
- the sensor system comprises a plurality of first infrared light sources which are embedded in the computer keyboard in such a way that each first IR light source illuminates a section of the palm of the hand over its entire surface.
- this embodiment comprises a plurality of camera chips, so that the reflection signals of the respective sections of the palm of the hand, that is to say sections of the palm vein pattern, are imaged on the camera chips in each case.
- the arrangement of the camera chips and the IR light sources is selected so that the combination of all images of the camera chips produces a largely complete image of the palm of the hand. This complete image is then fed to a processing process for determining the venous pattern template.
- the arrangement of several camera chips results from the need for a very short image distance. If only one camera chip is used, it may happen that the palm of the hand can not be completely optically picked up and therefore a complete image of the vein pattern can not be made available for processing.
- FIG. 2 shows a schematic illustration of an embodiment of a sensor system according to the invention for receiving a hand vein pattern
- Fig. 3 is a schematic representation of another embodiment of a sensor system according to the invention.
- step S1 shows a flowchart of a method for receiving a hand vein pattern.
- a hand is irradiated with a first light source which emits full-surface electromagnetic waves in the near infrared range, which can be reflected by veins in one hand.
- the reflection signals emanating from the veins of the hand are recorded by means of a camera chip and image data are generated in accordance with the reflection signals.
- step S3 the hand is irradiated with a second light source which emits electromagnetic radiation in the infrared range in the form of a structure image, and in step S4 the reflection signals of this irradiation are recorded and topographical data are generated from these reflection signals.
- step S3 occurs immediately after step S1 so that there is an immediate sequence of image-to-image or sub-images and the hand is in the same position for both irradiations.
- step S5 from the obtained topography data and the image data corresponding to the reflection signals of the hand veins, a normalized vein pattern is calculated or a feature vector corresponding to the vein pattern.
- step S6 in this embodiment, the calculated normalized vein pattern or the calculated feature vector is compared with at least one stored vein pattern or feature vector and subsequently classified as sufficiently matching or not sufficiently matching. With this classification, a decision about the release of further processes can now be made in a further subsequent step in one embodiment of the method according to the invention.
- step S7 release is granted for further processes if the vein pattern or the feature vector has been classified as sufficiently matching.
- FIG. 2 shows an embodiment of a sensor system according to the invention for accommodating a hand vein pattern.
- the sensor system comprises a first light source L1, a camera S1, a topography sensor TS and a processor unit P1, which is connected to the camera chip and the topography sensor.
- this additionally comprises a second processor unit P2.
- the first light source L1 is designed to emit full-surface electromagnetic waves in the near infrared range during operation, which can be reflected by veins of a hand H.
- the camera S1 with a camera chip is used to record reflection signals of electromagnetic waves and supplies image data corresponding to the reflection signals. In the illustrated embodiment, the camera picks up the reflection signals emitted from the veins of the hand H and provides corresponding image data.
- the topography sensor TS is used to acquire three-dimensional topographies, with it the position and the curvature of the hand H are detected.
- the first processor unit P1 is connected to the camera chip of the camera S1 and the topography sensor TS.
- the processor unit P1 generates from the topography data supplied by the topography sensor and the image data of the camera a standardized vein pattern of the hand H irradiated with the light source L1 or a corresponding feature vector.
- the additional processor unit P2 serves to compare the venous pattern calculated by the first processor unit P1 or the calculated feature vector with a stored venous pattern or a stored feature vector and a classification of the calculated venous pattern or the calculated feature vector as sufficiently coincident or not sufficiently consistent to take.
- a release unit is connected to the sensor system, which is able to provide access to a downstream system in a vein pattern classified as sufficiently coincident. The release unit is not shown in FIG. 3 shows a schematic representation of a further exemplary embodiment of a sensor system according to the invention. The basic structure of the sensor system in Fig. 3 is the same as that of the system shown in Fig.
- the topography sensor comprises a second light source L2 and a sensor S2, which comprises a second camera chip and a calculation unit.
- the second light source L2 emits electromagnetic radiation in the infrared range in the form of a pattern image.
- the camera chip of the sensor S2 is suitable for receiving the reflection signals of electromagnetic waves and the calculation unit calculates a topography of the object irradiated by the light source L2, in this case the hand H, from the recorded reflection signals.
- these topography data are sent to the processor unit P1 and generated from the topography data and the image data of the sensor S1, a normalized venous pattern of a hand.
- the processor unit P1 may additionally be configured to emit electromagnetic waves at regular time intervals, to calculate a distance from the reflection signals, and to irradiate the latter when falling below a predetermined minimum distance, in a sleep mode of the sensor system to start first light source L1.
- the first light source and the second light source are designed such that they emit alternately in immediate succession from image to image electromagnetic waves. This can be avoided that the position or curvature of the hand between the irradiation with the first light source and the irradiation with the second light source changes and it comes to distorted venous patterns.
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Abstract
Description
Claims
Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
BR112015028225A BR112015028225A2 (pt) | 2013-05-10 | 2014-05-05 | sistema de sensores, pulseira e método para o registro de um padrão de veias da mão |
JP2016512312A JP2016522487A (ja) | 2013-05-10 | 2014-05-05 | 手の静脈パターンを記録するセンサシステム及び方法 |
CN201480032711.5A CN105264546A (zh) | 2013-05-10 | 2014-05-05 | 用于记录手掌纹理图案的传感器***和方法 |
US14/889,888 US20160070948A1 (en) | 2013-05-10 | 2014-05-05 | Sensor system and method for recording a hand vein pattern |
EP14721381.3A EP2994850A1 (de) | 2013-05-10 | 2014-05-05 | Sensorsystem und verfahren zur aufnahme eines handvenenmusters |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102013208654.7A DE102013208654A1 (de) | 2013-05-10 | 2013-05-10 | Sensorsystem und Verfahren zur Aufnahme eines Handvenenmusters |
DE102013208654.7 | 2013-05-10 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2014180765A1 true WO2014180765A1 (de) | 2014-11-13 |
Family
ID=50639534
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2014/059058 WO2014180765A1 (de) | 2013-05-10 | 2014-05-05 | Sensorsystem und verfahren zur aufnahme eines handvenenmusters |
Country Status (7)
Country | Link |
---|---|
US (1) | US20160070948A1 (de) |
EP (1) | EP2994850A1 (de) |
JP (1) | JP2016522487A (de) |
CN (1) | CN105264546A (de) |
BR (1) | BR112015028225A2 (de) |
DE (1) | DE102013208654A1 (de) |
WO (1) | WO2014180765A1 (de) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102017126207A1 (de) | 2017-11-09 | 2019-05-09 | Iris-Gmbh Infrared & Intelligent Sensors | Sensorsystem zur Prüfung von Handvenenmustern |
DE102018101532A1 (de) | 2018-01-24 | 2019-07-25 | Iris-Gmbh Infrared & Intelligent Sensors | Sensorsystem |
EP3836015A1 (de) | 2019-12-09 | 2021-06-16 | Iris-Gmbh Infrared & Intelligent Sensors | Sensorsystem zur prüfung von handvenenmustern |
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US20110007951A1 (en) * | 2009-05-11 | 2011-01-13 | University Of Massachusetts Lowell | System and method for identification of fingerprints and mapping of blood vessels in a finger |
EP2477155A1 (de) * | 2009-09-11 | 2012-07-18 | Fujitsu Limited | Biometrische authentifizierungsvorrichtung, biometrisches authentifizierungssystem und biometrisches authentifizierungsverfahren |
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JP4309164B2 (ja) * | 2003-04-03 | 2009-08-05 | パナソニック株式会社 | アクセス管理システム、アクセス管理装置、アクセス管理システムに用いる記録媒体、アクセス管理プログラム及びアクセス管理方法 |
JP2005086308A (ja) * | 2003-09-05 | 2005-03-31 | Hitachi Software Eng Co Ltd | 視聴率測定装置及び方法 |
JP2005115842A (ja) * | 2003-10-10 | 2005-04-28 | Soft Kogaku Kenkyusho:Kk | データ送受信装置及びその方法 |
JP4809155B2 (ja) * | 2006-08-02 | 2011-11-09 | 株式会社 テクスピアー | 手の甲認証システム及び手の甲認証方法 |
JP2008191809A (ja) * | 2007-02-02 | 2008-08-21 | Hitachi Omron Terminal Solutions Corp | 自動取引装置およびic媒体リーダライタ |
CN101630386A (zh) * | 2008-04-17 | 2010-01-20 | 中航芯控科技(北京)有限公司 | 母婴rfid管理信息*** |
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US20130088583A1 (en) * | 2011-10-07 | 2013-04-11 | Aoptix Technologies, Inc. | Handheld Iris Imager |
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-
2013
- 2013-05-10 DE DE102013208654.7A patent/DE102013208654A1/de not_active Ceased
-
2014
- 2014-05-05 CN CN201480032711.5A patent/CN105264546A/zh active Pending
- 2014-05-05 BR BR112015028225A patent/BR112015028225A2/pt not_active Application Discontinuation
- 2014-05-05 US US14/889,888 patent/US20160070948A1/en not_active Abandoned
- 2014-05-05 EP EP14721381.3A patent/EP2994850A1/de not_active Withdrawn
- 2014-05-05 WO PCT/EP2014/059058 patent/WO2014180765A1/de active Application Filing
- 2014-05-05 JP JP2016512312A patent/JP2016522487A/ja active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1187055A2 (de) * | 2000-09-06 | 2002-03-13 | Hitachi, Ltd. | Personelles Identifikationsgerät und Verfahren dafür |
EP1898338A2 (de) * | 2006-09-07 | 2008-03-12 | Hitachi, Ltd. | Personenidentifizierungsvorrichtung und Verfahren unter Verwendung lebender Körper |
US20110007951A1 (en) * | 2009-05-11 | 2011-01-13 | University Of Massachusetts Lowell | System and method for identification of fingerprints and mapping of blood vessels in a finger |
EP2477155A1 (de) * | 2009-09-11 | 2012-07-18 | Fujitsu Limited | Biometrische authentifizierungsvorrichtung, biometrisches authentifizierungssystem und biometrisches authentifizierungsverfahren |
Non-Patent Citations (1)
Title |
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See also references of EP2994850A1 * |
Also Published As
Publication number | Publication date |
---|---|
CN105264546A (zh) | 2016-01-20 |
EP2994850A1 (de) | 2016-03-16 |
BR112015028225A2 (pt) | 2017-07-25 |
JP2016522487A (ja) | 2016-07-28 |
US20160070948A1 (en) | 2016-03-10 |
DE102013208654A1 (de) | 2014-11-13 |
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