USER IDENTIFICATION BY GESTURE RECOGNITION

摘要

A user can be identified and/or authenticated to an electronic device by analyzing aspects of a motion or gesture made by that user. At least one imaging element of the device can capture image information including the motion or gesture, and can determine time-dependent information about that motion or gesture in two or three dimensions of space. The time-dependent information can be used to identify varying speeds, motions, and other such aspects that are indicative of a particular user. The way in which a gesture or motion is made, in addition to the motion or gesture itself, can be used to authenticate an individual user. While other persons can learn the basic gesture or motion, the way in which each person makes that gesture or motion will generally be at least slightly different, which can be used to prevent unauthorized access to sensitive information, protected functionality, or other such content.

主权项

1. A computing device, comprising:
a processor; a camera; and memory including instructions that, upon being executed by the processor, cause the computing device to:
capture, using the camera, a plurality of images each including a respective representation of at least one object corresponding to a user;identify a respective position of the respective representation of the at least one object in each image of the plurality of imagescompare the respective position of the respective representation of the at least one object in each image and a respective time for each respective position to one or more user-specific measurements corresponding to a manner of the user performing a gesture, the one or more user-specific measurements including at least one of: (a) a path of movement of the gesture, (b) one or more of relative timing, acceleration, or velocity information corresponding to the gesture, or (c) measurements of at least one feature of the user that is used to perform the gesture; andidentify the user in response to determining that the respective position of the respective representation of the at least one object identified in each image and the respective time for each respective position matches the one or more user-specific measurements with at least a minimum level of confidence.