METHOD AND SYSTEM FOR REMOTE CONTROLLING

• US 20150317516A1
• Filed: 12/04/2013
• Published: 11/05/2015
• Est. Priority Date: 12/05/2012
• Status: Abandoned Application

• Current Assignee: Inuitive Ltd.
• Original Assignee: Inuitive Ltd.
• Inventors: TSOREF, Ziv, SHIMELMITZ, Zohar
• Application Number:
  US14/649,218
• Publication Number:
  US 20150317516A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16
• CPC Class Codes: G06V 40/28 Recognition of hand or arm movements, e.g. recognition of deaf sign language static hand signs G06V40/113

Abstract

A method of remote controlling is disclosed. The method comprises: capturing image data from a scene at the vicinity of an appliance, processing the image data to recognize at least one gesture of an individual present in the scene, and changing a state of the appliance based on the at least one recognized gesture.

Claims

1. A method of remote controlling, comprising:

using a gesture recognition system for capturing image data from a scene at the vicinity of an appliance and processing said image data to recognize at least one gesture of an individual present in said scene; and

changing a state of said appliance based on said at least one recognized gesture.

2. The method of claim 1, further comprising determining presence or absence of said individual in said scene.

3. The method of claim 2, further comprising changing a power consumption level of said appliance based on said presence or absence.

4. The method according to claim 2, further comprising changing a power consumption level of said gesture recognition system based on said presence or absence.

5. The method of claim 4, wherein said gesture recognition system comprises a plurality of pixilated sensors, and wherein said changing said power consumption level of said gesture recognition system comprises activating and deactivating pixels of said pixilated sensors responsively to said presence or absence.

6. The method according to claim 1, further comprising identifying said individual, wherein said changing said state is conditional to positive identification of said individual.

8. The method according to claim 1, further comprising selecting said appliance from a plurality of appliances based on said at least one recognized gesture.

10. The method according to claim 8, wherein said appliance is selected if a gaze of said individual is directed to said appliance for a predetermined time period.

12. The method according to claim 8, wherein said appliance is selected based on voice input from said individual.

13. The method according to claim 1, further comprising selecting said appliance from a plurality of appliances based on an illumination pattern projected on said appliance.

15. The method according to claim 1, wherein said recognizing said at least one gesture comprises analyzing a three-dimensional image of said individual.

17. The method according to claim 1, wherein said recognizing said at least one gesture comprises analyzing an infrared image of said individual.

7. (canceled)

9. (canceled)

11. (canceled)

14. (canceled)

16. (canceled)

18. (canceled)

19. A remote control system, comprising:

a gesture recognition system configured for capturing image data from a scene at the vicinity of an appliance, and processing said image data to recognize at least one gesture of an individual present in said scene; and

a controller configured for changing a state of said appliance based on said at least one recognized gesture.

20. The system of claim 19, wherein said gesture recognition system is configured for determining presence or absence of said individual in said scene.

21. The system of claim 20, wherein said gesture recognition system is configured for changing a power consumption level of said appliance based on said presence or absence.

22. The system according to claim 20, wherein said gesture recognition system is configured for changing a power consumption level of said gesture recognition system based on said presence or absence.

23. The system of claim 22, wherein said gesture recognition system comprises a plurality of pixilated sensors, and being configured to activate and deactivate pixels of said pixilated sensors responsively to said presence or absence.

24. The system according to claim 19, wherein said gesture recognition system is configured for identifying said individual, wherein said changing said state is conditional to positive identification of said individual.

25. The system according to claim 19, wherein said gesture recognition system is configured for selecting said appliance from a plurality of appliances based on said at least one recognized gesture.

26. The system according to claim 25, wherein said appliance is selected if a gaze of said individual is directed to said appliance for a predetermined time period.

27. The system according to claim 19, wherein said gesture recognition system comprises a voice recognition system configured for selecting said appliance from a plurality of appliances based on voice input from said individual.

28. The system according to claim 19, wherein said gesture recognition system is configured for selecting said appliance from a plurality of appliances based on an illumination pattern projected on said appliance.

29. The system according to claim 19, wherein said gesture recognition system is configured for capturing and analyzing a three-dimensional image of said individual.

30. The system according to claim 19, wherein said gesture recognition system is configured for capturing and analyzing an infrared image of said individual.