Systems and methods for triggering actions based on touch-free gesture detection
Systems, methods and non-transitory computer-readable media for triggering actions based on touch-free gesture detection are disclosed. The disclosed systems may include at least one processor. A processor may be configured to receive image information from an image sensor, detect in the image information a gesture performed by a user, detect a location of the gesture in the image information, access information associated with at least one control boundary, the control boundary relating to a physical dimension of a device in a field of view of the user, or a physical dimension of a body of the user as perceived by the image sensor, and cause an action associated with the detected gesture, the detected gesture location, and a relationship between the detected gesture location and the control boundary.
1. A touch-free gesture recognition system, comprising:
at least one processor configured to:
receive image information from an image sensor;
determine one or more locations in the image information relating to at least one control boundary based, at least in part, on a physical dimension of a body of a user;
detect in the image information a gesture performed by the user;
detect a gesture location in the image information, wherein at least a portion of the gesture location is detected outside the control boundary, and wherein the gesture location is associated with at least one control boundary crossed by the detected gesture; and
cause an action associated with the detected gesture, the detected gesture location, and a relationship between the detected gesture location and the control boundary.
2. The system of claim 1 , wherein the processor is further configured to determine the control boundary based, at least in part, on the physical dimension of the body of the user as perceived by the image sensor.
3. The system of claim 1 , wherein the processor is further configured to distinguish between a plurality of predefined gestures to cause a plurality of actions, each associated with a differing predefined gesture.
4. The system of claim 1 , wherein the processor is further configured to generate a plurality of actions, each associated with a differing relative position of the gesture location to the control boundary.
5. The system of claim 1 , wherein the physical dimension is associated with a contour of at least a portion of the body of the user, other than the user's hand.
6. The system of claim 1 , wherein the processor is further configured to determine the control boundary based on a contour of at least a portion of a body of the user in the image information.
7. The system of claim 1 , wherein the action is related to a number of times the at least one control boundary is crossed by a path of the gesture.
8. The system of claim 1 , wherein the action is associated with a predefined motion path associated with the gesture location and the at least one control boundary.
9. The system of claim 1 , wherein the action is associated with a predefined motion path associated with the at least one control boundary crossed by the gesture location.
10. The system of claim 1 , wherein the processor is further configured to detect a hand in a predefined location relating to the control boundary and initiate detection of the gesture based on the detection of the hand at the predefined location.
11. The system of claim 1 , wherein the processor is further configured to cause at least one of a visual or audio indication when the control boundary is crossed.
12. The system of claim 1 , wherein prior to the gesture detection, the at least one processor is configured to provide an indication that a gesture associated with the at least one control boundary is enabled.
13. The system of claim 1 , wherein the detected gesture comprises an identified predefined hand pose and an identified predefined motion path.
14. A method for a touch-free gesture recognition system, comprising:
receiving image information from an image sensor;
determining one or more locations in the image information relating to at least one control boundary based, at least in part, on a physical dimension of a body of a user;
detecting in the image information a gesture performed by the user;
detecting a gesture location in the image information, wherein at least a portion of the gesture location is detected outside the control boundary, and wherein the gesture location is associated with at least one control boundary crossed by the detected gesture; and
causing an action associated with the detected gesture, the detected gesture location, and a relationship between the detected gesture location and the control boundary.
15. The method of claim 14 , wherein the physical dimension is a physical dimension of the body of the user as perceived by the image sensor.
16. The method of claim 14 , further comprising generating a plurality of actions, each associated with a differing relative position of the gesture location to the control boundary.
17. The method of claim 14 , wherein the physical dimension is associated with a contour of at least a portion of the body of the user, other than the user's hand.
18. The method of claim 14 , wherein the action is associated with a predefined motion path associated with the gesture location and the at least one control boundary.
19. The method of claim 14 , wherein the action is associated with a predefined motion path associated with the at least one control boundary crossed by the gesture location.
20. The method of claim 14 , further comprising detecting a hand in predefined location relating to the control boundary and initiating detection of the gesture based on the detection of the hand at the predefined location.
21. The method of claim 14 , further comprising providing, prior to the gesture detection, an indication that a gesture associated with the at least one control boundary is enabled.
22. The method of claim 14 , further comprising distinguishing between a plurality of predefined motion paths associated with the same gesture to cause a plurality of actions, each action associated with a different motion path.
23. The method of claim 14 , wherein detecting the gesture comprises identifying a predefined hand pose and a predefined motion path.
24. A touch-free gesture recognition system, comprising:
at least one processor configured to:
receive image information from an image sensor;
determine at least one location in the image information associated with a control boundary based, at least in part, on a physical dimension of a body of a user;
detect in the image information a gesture performed by the user, wherein at least a portion of the gesture is detected outside the control boundary;
determine whether the detected gesture crosses the at least one location associated with the control boundary;
cause a first action when the detected gesture crosses the at least one location associated with the control boundary; and
cause a second action when the detected gesture does not cross the at least one location associated with the control boundary.
25. The system of claim 24 , wherein the detected gesture comprises an identified predefined hand pose and an identified predefined motion path.