3-Dimensional Indian Dance Pose Classification using Convolution-al Neural Network

The classification of Indian classical dance is complex because it contains complex human body parts. The Identification and recognition of classic dance is a challenging task due to every dance gesture consisting of tough single-hand, double-hand, body movements, leg movements, facial emotions and background Music. In this work, we have tried five different songs, every song consists of thirty to forty categories. For the identification and classification of dance, we have proposed a convolutional neural network, which performs better than various state-of-the-art works. The inputs to the proposed model were captured from Microsoft Kinect, we analogize and separate machine learning models and deep learning models. The achieved recognition score of our work is 95.63