CONTROLLING OBJECTS VIA GESTURING

• US 20090198354A1
• Filed: 02/26/2009
• Published: 08/06/2009
• Est. Priority Date: 02/07/2002
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Wilson, Andrew
• Granted Patent: US 8,707,216 B2
• Time in Patent Office: Days
• US Class Current: 700/90
• CPC Class Codes: G06F 2203/0381 Multimodal input, i.e. interface arrangements enabling the user to issue commands by simultaneous use of input devices of different nature, e.g. voice plus gesture on digitizer
• CPC Class Codes: G06F 3/0346 with detection of the device orientation or free movement in a 3D space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors
• CPC Class Codes: G06F 3/038 Control and interface arrangements therefor, e.g. drivers or device-embedded control circuitry
• CPC Class Codes: G08C 17/00 Arrangements for transmitting signals characterised by the use of a wireless electrical link
• CPC Class Codes: G08C 2201/31 Voice input
• CPC Class Codes: G08C 2201/32 Remote control based on movements, attitude of remote control device
• CPC Class Codes: G08C 2201/41 Remote control of gateways
• CPC Class Codes: G08C 2201/50 Receiving or transmitting feedback, e.g. replies, status updates, acknowledgements, from the controlled devices

Abstract

The present invention is directed toward a system and process that controls a group of networked electronic components using a multimodal integration scheme in which inputs from a speech recognition subsystem, gesture recognition subsystem employing a wireless pointing device and pointing analysis subsystem also employing the pointing device, are combined to determine what component a user wants to control and what control action is desired. In this multimodal integration scheme, the desired action concerning an electronic component is decomposed into a command and a referent pair. The referent can be identified using the pointing device to identify the component by pointing at the component or an object associated with it, by using speech recognition, or both. The command may be specified by pressing a button on the pointing device, by a gesture performed with the pointing device, by a speech recognition event, or by any combination of these inputs.

Claims

1. A system for controlling an object via gesturing comprising:

at least one camera for receiving light from a device;

a host computer coupled to the at least one camera for processing the received light to produce image data to determine a 3-dimensional location of a gesture, wherein receiving light comprises the at least one camera periodically capturing images associated with the light, and wherein the host computer processes the image data against a coordinate system to determine the 3-dimensional location of the gesture; and

a storage device coupled to the host computer for storing a plurality of prototype sequences, wherein the host computer processes the image data to determine that the gesture has been performed by matching the image data against the plurality of prototype sequences, and wherein if the image data matches one of the prototype sequences a control action corresponding to the gesture is performed on the object.

2. The system of claim 1, wherein the storage device further comprises a list that includes one or more modified prototype sequences for each of the prototype sequences, wherein the modified prototype sequences are different versions of their corresponding prototype sequence.

3. The system of claim 2, wherein the modified prototype sequences are different from their corresponding prototype sequence in speed or amplitude.

4. The system of claim 2, wherein the modified prototype sequences are different from their corresponding prototype sequence in time.

5. The system of claim 2, wherein when the host computer matches the image data against the prototype sequences, it also matches the image data against the corresponding modified prototype sequences.

6. The system of claim 5, wherein if the image data matches one of the modified prototype sequences, the control action for the corresponding prototype sequence is performed on the object.

7. The system of claim 1, wherein matching the image data against the plurality of prototype sequences comprises computing a similarity indicator between the image data and each of the prototype sequences.

8. The system of claim 7, wherein after a similarity indicator between the image data and each of the prototype sequences is computed, the host computer determines a best match from one of the similarity indicators.

9. The system of claim 8, wherein the host computer determines whether the best match exceeds a threshold and if the best match does not exceed a threshold, the host computer determines that the gesture has not been performed and that the control action associated with the object should also not be performed.

10. The system of claim 1, wherein one of the at least one cameras is an infrared camera.

11. A method for controlling an object via gesturing comprising:

receiving light with at least one camera;

capturing images caused by the light with the at least one camera;

producing image data from the light;

matching the image data against a plurality of prototype sequences;

determining whether the image data matches one of the prototype sequences;

determining that a gesture has been performed, if the image data matches the one of the prototype sequences; and

performing a control action on an object corresponding to the gesture.

12. The method of claim 11, wherein matching the image data further comprises:

generating a list that includes one or more modified prototype sequences for each of the prototype sequences, wherein the modified prototype sequences are different versions of their corresponding prototype sequence; and

matching the image data against the plurality of prototype sequences and their corresponding modified prototype sequences.

13. The method of claim 12, wherein the modified prototype sequences are different from their corresponding prototype sequence in speed or amplitude.

14. The method of claim 12, wherein the modified prototype sequences are different from their corresponding prototype sequence in time.

15. The method of claim 12, wherein determining that a gesture has been performed further comprises determining that a gesture has been performed, if the image data matches the one of the modified prototype sequences corresponding to the prototype sequence.

16. The method of claim 11, wherein matching the image data further comprises:

computing a similarity indicator between the image data and each of the prototype sequences; and

selecting one of the prototype sequences based on the similarity indicator.

17. The method of claim 16, wherein selecting one of the prototype sequences further comprises:

determining a best match based on the similarity indicators; and

determining if the best match exceeds a threshold.

18. The method of claim 17, wherein performing a control action further comprises:

performing the control action on the object corresponding to the gesture, if the best match exceeds the threshold; and

performing no action on the object, if the best match does not exceed the threshold.

19. The method of claim 11, wherein one of the at least one cameras is an infrared camera.

20. One or more computer-readable storage media in a computing device having computer-useable instructions embodied thereon for performing a method for controlling an object, the method comprising:

receiving infrared light with at least one infrared camera;

capturing images associated with the infrared light with the at least one infrared camera;

producing infrared image data from the infrared light;

matching the infrared image data against a plurality of prototype sequences;

determining whether the infrared image data matches one of the prototype sequences;

determining that a gesture has been performed, if the infrared image data matches the one of the prototype sequences; and

performing a control action on an object corresponding to the gesture.

21. The one or more computer-readable storage media of claim 20, wherein matching the infrared image data further comprises:

generating a list that includes one or more modified prototype sequences for each of the prototype sequences, wherein the modified prototype sequences are different versions of their corresponding prototype sequence; and

matching the infrared image data against the plurality of prototype sequences and their corresponding modified prototype sequences.

22. The one or more computer-readable storage media of claim 21, wherein the modified prototype sequences are different from their corresponding prototype sequence in speed or amplitude.

23. The one or more computer-readable storage media of claim 21, wherein the modified prototype sequences are different from their corresponding prototype sequence in time.

24. The one or more computer-readable storage media of claim 21, wherein determining that a gesture has been performed further comprises determining that a gesture has been performed, if the infrared image data matches the one of the modified prototype sequences corresponding to the prototype sequence.

25. The one or more computer-readable storage media of claim 20, wherein matching the infrared image data further comprises:

computing a similarity indicator between the infrared image data and each of the prototype sequences; and

selecting one of the prototype sequences based on the similarity indicator.

26. The one or more computer-readable storage media of claim 25, wherein selecting one of the prototype sequences further comprises:

determining a best match based on the similarity indicators; and

determining if the best match exceeds a threshold.

27. The one or more computer-readable storage media of claim 26, wherein performing a control action further comprises:

performing the control action on the object corresponding to the gesture, if the best match exceeds the threshold; and

performing no action on the object, if the best match does not exceed the threshold.