Abstract
Abstract: Kinect cameras and therefore the other sensor combination framework is used to obtain real-time tracking of a person’s action skeleton. Various gestures, performed by different persons, Quaternion's of joint angles are first used as robust and significant features. we present a gesture human activity recognition system for the event of human-robot interaction (HRI) interface. Next, classifiers are used to recognize the different gestures. This work deals with different challenging tasks, like the real-time implementation of a gesture act recognition system and also the temporal resolution of gestures. The HRI interface developed during this work includes three Kinect and robots which will be remotely controlled by one operator standing before of one of the Kinect sensors. Moreover, the system is provided with a nation action for control of the robot.
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