Gesture Recognition from Indian Classical Dance Using Kinect Sensor

This work proposes gesture recognition algorithm for Indian Classical Dance Style using Kinect sensor. This device generates the skeleton of human body from which twenty different junction 3-dimensional coordinates are obtained. Here we require only eleven coordinates for the proposed work. Basically six joints coordinates about right and left hands and five upper body joint coordinates are processed. A unique system of feature extraction have been used to distinguish between `Anger´, `Fear´, `Happiness´, `Sadness´ and `Relaxation´. This system checks whether the emotion is positive or negative with its intensity information. A total of twenty three features have been extracted based on the distance between different parts of the upper human body, the velocity and acceleration generated along with the angle between different joints. The proposed algorithm gives a high recognition rate of 86.8% using SVM.