IP Library Patent Application 14958609
Patent Application
App. No. 14/958,609

METHOD AND APPARATUS FOR GESTURE RECOGNITION

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Patent No.
US None
App. No.
14/958,609
Abstract

A computer-implemented method and an apparatus for improving gesture recognition are described. The method comprises providing a reference model defined by a joint structure, receiving at least one image of a user, and mapping the reference model to the at least one image of the user, thereby connecting the user to the reference model for recognition of a set of gestures predefined for the reference model, when the gestures are performed by the user.

Claims (29)

1 . A computer-implemented method for gesture recognition, the method comprising:

providing a reference model defined by a joint structure;

receiving at least one image of a user; and

mapping the reference model to the at least one image of the user, thereby connecting the user to the reference model for recognition of a set of gestures predefined for the reference model, when the gestures are performed by the user.

2 . The method according to claim 1 , wherein the provided reference model defines a three-dimensional (3D) model of at least a part of a human, including a hierarchical structure of joints.

3 . The method according to claim 1 , wherein the step of mapping further comprises adjusting relative positions of joints of the reference model, thereby adapting a shape of the reference model to the image of the user.

4 . The method according to claim 1 , further comprising capturing and providing the at least one image of the user, wherein the at least one image of the user comprises a three-dimensional image or at least two images from different perspectives.

5 . The method according to claim 1 , further comprising analyzing the at least one image of the user to enable a comparison with the reference model, wherein analyzing comprises identifying joint positions in captured images.

6 . The method according to claim 1 , wherein the reference model comprises markers at predetermined positions, wherein the markers preferably define points through which at least one rotational axis of a movement passes.

7 . The method according to claim 1 , further comprising identifying virtual markers placed on the user, wherein the mapping is based on said identified virtual markers.

8 . The method according to claim 1 , further comprising storing the mapped reference model in a database.

9 . The method according to claim 8 , further comprising identifying the user based on the mapped reference model.

10 . The method according to claim 1 , further comprising:

receiving at least one captured image depicting a gesture of the user;

recognizing in the at least one captured image one of the predefined gestures based on results of the mapping; and

initiating a predefined action associated with the recognized gesture.

11 . The method according to claim 1 , wherein the predefined gestures include at least one of pinching a thumb and a forefinger, unpinching the thumb and the forefinger, making a clenched fist, unmaking a clenched fist.

12 . An apparatus for gesture recognition based on at least one image of a user, the apparatus comprising:

a memory configured to store and provide a reference model defined by a joint structure;

an input interface configured to receive at least one image of a user; and

at least one processor configured to map the reference model to the at least one image of the user, thereby connecting the user to the reference model for recognition of a set of gestures predefined for the reference model, when the gestures are performed by the user.

13 . The apparatus according to claim 12 , wherein the at least one processor is further configured to adjust relative positions of joints of the reference model, thereby adapting a shape of the reference model to the user.

14 . The apparatus according to claim 12 , wherein the input interface is further configured to connect to an image capturing device for capturing and providing the at least one image of the user, wherein the at least one image of the user comprises a three-dimensional image or at least two images from different perspectives.

15 . The apparatus according to claim 14 , wherein the image capturing device is configured to capture at least one image depicting a gesture of the user, and the processor is further configured to recognize in the at least one captured image one of the predefined gestures based on results of the mapping, and to initiate a predefined action associated with the recognized gesture.

16 . The apparatus according to claim 12 , further comprising a comparator configured to compare the at least one image of the user with the reference model to identify joint positions in captured images.

17 . The apparatus according to claim 12 , wherein the at least one processor is further configured to store the mapped reference model in a database.

18 . The apparatus according to claim 17 , wherein the at least one processor is further configured to identify the user based on the mapped reference model.

19 . A computing device including a capturing device and a processor, wherein the processor is configured to recognize in at least one image captured by the capturing device a predefined gesture based on a mapped reference model, wherein the mapped reference model is generated according to the method of claim 1 .

20 . A computer-readable medium having instruction stored thereon, wherein the instructions when executed on a computer or a processor cause the computer or processor to perform the method of claim 1 .

Assignments (2)
CHANGE OF NAME Recorded Jun 5, 2023
From: CALAY VENTURE S.À R.L.; CINEVR
To: TMRW FOUNDATION IP S.À R.L.
Reel/Frame 063860/0301 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2015
From: YERLI, CEVAT
To: CALAY VENTURE S.À R.L.
Reel/Frame 037387/0892 →