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This paper presents a novel approach of Human Activity Recognition (HAR) using the joint angles of the human body in 3-D. From each pair of activity video images acquired by a stereo camera, the body joint angles are estimated by co-registering a 3-D body model to the stereo information: our approach uses no attached sensors on the human. The estimated joint angle features from the time-sequential...
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