US2019250714A1PendingUtilityA1

Systems and methods for triggering actions based on touch-free gesture detection

Assignee: EYESIGHT MOBILE TECH LTDPriority: Dec 13, 2012Filed: Feb 11, 2019Published: Aug 15, 2019
Est. expiryDec 13, 2032(~6.4 yrs left)· nominal 20-yr term from priority
G06F 3/0304G06F 3/011G06F 3/0484G06F 3/167G06F 3/017G06F 3/0482
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Claims

Abstract

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.

Claims

exact text as granted — not AI-modified
1 - 18 . (canceled) 
     
     
         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;   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 . The method of  claim 19 , further comprising determining the control boundary based on a dimension of the device as is expected to be perceived by the user. 
     
     
         21 . The method of  claim 20 , 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. 
     
     
         22 . The method of  claim 19 , further comprising generating a plurality of actions, each associated with a differing relative position of the gesture location to the control boundary. 
     
     
         23 . The method of  claim 19 , further comprising determining the control boundary by detecting a portion of a body of the user, other than the user's hand, and defining the control boundary based on the detected body portion, and generating the action based, at least in part, on an identity of the gesture, and a relative location of the gesture to the control boundary. 
     
     
         24 . The method of  claim 19 , further comprising determining the control boundary based on dimensions of the display. 
     
     
         25 . The method of  claim 24 , further comprising activating a toolbar associated with a particular edge based, at least in part, on the gesture location. 
     
     
         26 . The method of  claim 19 , wherein the control boundary is determined based on at least one of an edge or a corner of the device. 
     
     
         27 . The method of  claim 19 , wherein the action is associated with a predefined motion path associated with the gesture location and the control boundary. 
     
     
         28 . The method of  claim 19 , wherein the action is associated with a predefined motion path associated with particular edges or corners crossed by the gesture location. 
     
     
         29 . The method of  claim 19 , 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 
     
     
         30 . The method of  claim 19 , wherein the control boundary is determined, at least in part, based on a distance between the user and the image sensor.

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