We proposed a lightweight approach to recognize gestures with Kinect, based on approximate string matching.
We implemented two gesture recognition variants, based on string matching.
We evaluated our approach by using the public MSRC-12 Kinect gesture dataset.
We compared the accuracy and performance with other state-of-the-art gesture-recognition techniques.
The experimental evaluations show that the proposed approach achieves better performance than the state-of-the-art algorithms.