Dynamic and interactive gesture recognition algorithm based on Kinect
Guangjun Dai, Lei Yu, Jun Huang · 2017
With the constant development of smart devices, Gesture recognition is applied on more and more fields. Gesture recognition devices currently on the market are inconvenient and expensive. A gesture recognition method based on Kinect is proposed in this paper. The camera of Kinect is used to get gesture images and then a hidden Markov model is established to recognize dynamic gesture so that the operation is simple. The assessment, decoding algorithms and training issues of hidden Markov model in gesture recognition is focused in this paper. Viterbi algorithm and Baum-Welch algorithm are used to solve the problems above. After simulation experiments, it is discovered that the gesture recognition algorithm based on Kinect proposed in this paper has a high accuracy rate for a variety of gestures, simultaneously the naturalness of human-computer interaction has been greatly improved.