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;
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.
2. The system of claim 1 , wherein the processor is further configured to generate information associated with at least one control boundary prior to accessing the information.
3. The system of claim 1 , wherein the processor is further configured to determine the control boundary based, at least in part, on a dimension of the device as is expected to be perceived by the user.
4. The system of claim 3 , wherein the control boundary is determined based, at least in part, on at least one of an edge or corner of the device as is expected to be perceived by the user.
5. 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.
6. 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.
7. The system of claim 1 , wherein the processor is further configured to determine the control boundary by detecting a portion of a body of the user, other than the user's hand, and to define the control boundary based on the detected body portion, and wherein the processor is further configured to generate the action based, at least in part, on an identity of the gesture, and a relative location of the gesture to the control boundary.
8. 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.
9. The system of claim 1 , wherein the device includes a display, and wherein the processor is further configured to determine the control boundary based on dimensions of the display.
10. The system of claim 9 , wherein processor is further configured to determine the control boundary based on at least one of an edge or corner of a display associated with the device.
11. The system of claim 9 , wherein the processor is further configured to activate a toolbar associated with a particular edge based, at least in part, on the gesture location.
12. The system of claim 1 , wherein the action is related to a number of times at least one of an edge or corner of the control boundary is crossed by a path of the gesture.
13. The system of claim 1 , wherein the action is associated with a predefined motion path associated with the gesture location and the control boundary.
14. The system of claim 1 , wherein the action is associated with a predefined motion path associated with particular edges or corners crossed by the gesture location.
15. The system of claim 1 , wherein the processor is further configured to detect a hand in predefined location relating to the control boundary and initiate detection of the gesture based on the detection of the hand at the predefined location.
16. 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.
17. The system of claim 1 , wherein the control boundary is determined, at least in part, based on a distance between the user and the image sensor.
18. The system of claim 1 , wherein the control boundary is determined, at least in part, based on a location of the user in relation to the device.
19. A method for a touch-free gesture recognition system, comprising:
receiving image information from an image sensor;
detecting in the image information a gesture performed by a user;
detecting a location of the gesture in the image information;
accessing 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
causing an action associated with the detected gesture, the detected gesture location, and a relationship between the detected gesture location and the control boundary.
20. A non-transitory computer-readable medium storing instructions which, when executed, configure at least one processor to perform operations for touch-free gesture recognition, the operations comprising:
receiving image information associated with a user from an image sensor;
accessing information associated with a 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;
detecting in the image information a gesture performed by a user in relation to the control boundary;
identifying a user behavior based on the detected gesture; and
generating a message or a command based on the identified user behavior.