Motion classifier for Microsoft Kinect

Abstract

Currently there are many techniques for motion classification. Herein we use Microsoft Kinect for motion capture. Our motion classifier employs an algorithm called Dynamic Time Warping (DTW). We tested the classifier with 7 hand motions: single circle, double circle, punch, uppercut, square, triangle, and flipped triangle. The experimental results show that our motion classifier yields 100% prediction accuracy.