A Real-Time Approach for Gesture Recognition using the Kinect Sensor

Georgios Paraskevopoulos, Evaggelos Spyrou, Dimitrios Sgouropoulos

Abstract: In this paper we present an approach for real-time gesture recognition using the Kinect sensor and a set of machine learning techniques. We propose a novel approach for feature extraction using measurements on skeletal joints. We select a set of simple gestures and construct a data set. We train classifiers under the assumptions that they shall be evaluated to both known and unknown users. Experimental results prove the effectiveness and the potential of our approach.