Gesture recognition techniques

Patent metadata

Field	Value
Publication number	US-2019278380-A1
Application number	US-201916413515-A
Country	US
Kind code	A1
Filing date	May 15, 2019
Priority date	May 31, 2011
Publication date	Sep 12, 2019
Grant date	—

Abstract

In one or more implementations, a static geometry model is generated, from one or more images of a physical environment captured using a camera, using one or more static objects to model corresponding one or more objects in the physical environment. Interaction of a dynamic object with at least one of the static objects is identified by analyzing at least one image and a gesture is recognized from the identified interaction of the dynamic object with the at least one of the static objects to initiate an operation of the computing device.

First claim

1 . A method implemented by a computing device, the method comprising:
via a sensor, capturing data corresponding to a physical environment; based at least in part on using the data corresponding to the physical environment, forming at least one model of a static physical object that models one or more objects in the physical environment; identifying interaction of a dynamic object with the at least one model of the static physical object; and recognizing a gesture from the identified interaction of the dynamic object with the at least one model of the static physical object to initiate an operation of the computing device.

2 . A method as described in claim 1 , wherein the identified interaction includes identifying contact between the dynamic object and the at least one of the static objects by analyzing the data.

3 . A method as described in claim 1 , further comprising generating a geometry model using one or more images captured by the sensor, and wherein identifying the interaction of the dynamic object with the at least one model of the static physical object comprises using at least one image captured subsequent to the one or more images that were used to generate the geometry model.

4 . A method as described claim 1 , wherein the sensor is a depth camera and the data comprises depth data.

5 . A method as described in claim 1 , wherein recognizing the gesture comprises recognizing a user body part that is used in the identified interaction.

6 . A method as described in claim 1 , wherein recognizing the gesture comprises recognizing (1) positioning and movement of at least one finger of a user's hand and/or (2) movement of the user's hand as a whole.

7 . A method as described in claim 1 , wherein recognizing the gesture comprises recognizing the gesture from a single type of input.

8 . A method as described in claim 1 , wherein recognizing the gesture comprises recognizing the gesture from multiple types of input.

9 . A method implemented by a computing device, the method comprising:
via a sensor, capturing data corresponding to a physical environment; based at least in part on using the data corresponding to the physical environment, forming at least one model of a static physical object that models one or more objects in the physical environment; identifying contact between a dynamic object and the at least one model of the static physical object; and recognizing a gesture from the identified contact of the dynamic object with the at least one model of a static physical object to initiate an operation of the computing device.

10 . A method as described in claim 9 , further comprising generating the at least one model of the static physical object using one or more images captured by the sensor, and wherein identifying the contact between the dynamic object and the at least one model of the static physical object comprises using at least one image captured subsequent to the one or more images that were used to generate the at least one model of the static physical object.

11 . A method as described in claim 9 , wherein the model of the static physical object models one or more objects in the physical environment using a static geometry model.

12 . A method as described in claim 9 , wherein the model of the static physical object comprises a displayed image including the physical object.

13 . A method as described in claim 9 , wherein the sensor is a camera and the data includes images captured by the camera.

14 . A method as described in claim 9 , wherein the sensor is a depth camera and the data comprises depth data.

15 . A method as described in claim 9 , wherein the operation is to form a communication that identifies the gesture for communicating to another computing device to initiate another operation of the other computing device.

16 . An apparatus comprising:
a camera configured to capture data of a physical environment of the camera; and one or more modules communicatively coupled to the camera and configured to perform operations comprising:
based at least in part on using the data corresponding to the physical environment, forming at least one model of a static physical object that models one or more objects in the physical environment;
identifying interaction of a dynamic object with the at least one model of the static physical object; and
recognizing a gesture from the identified interaction of the dynamic object with the at least one model of the static physical object to initiate an operation of the computing device.

17 . An apparatus as described in claim 16 , wherein the identified interaction includes identifying contact between the dynamic object and the at least one of the static objects by analyzing the data.

18 . An apparatus as described in claim 16 , wherein the one or more modules are configured to generate a geometry model using one or more images captured by the camera, and wherein identifying the interaction of the dynamic object with the at least one model of the static physical object comprises using at least one image captured subsequent to the one or more images that were used to generate the geometry model.

19 . An apparatus as described in claim 16 , wherein the camera is a depth camera and the data comprises depth data.

20 . An apparatus as described in claim 16 , wherein the operation is to form a communication that identifies the gesture for communicating to another computing device to initiate another operation of the other computing device.

Assignees

• Microsoft Technology Licensing Llc

Inventors

• Kim David
• Hilliges Otmar D
• Izadi Shahram
• Olivier Patrick L
• Shotton Jamie Daniel Joseph
• Kohli Pushmeet
• Molyneaux David G
• Hodges Stephen E
• Fitzgibbon Andrew W

Classifications

• G06T2207/30196

  Human being; Person · CPC title

• G06F3/04815

  Interaction with a metaphor-based environment or interaction object displayed as three-dimensional [3D], e.g. changing the user viewpoint with respect to the environment or object · CPC title

• G06F3/0304

  Detection arrangements using opto-electronic means (constructional details of pointing devices not related to the detection arrangement using opto-electronic means G06F3/033; optical digitisers G06F3/042) · CPC title

• G06T7/75

  involving models · CPC title

• G06F3/011 Primary

  Arrangements for interaction with the human body, e.g. for user immersion in virtual reality (blind teaching G09B21/00) · CPC title