The Application of Improving LB Algorithm in Dynamic Gesture Recognition

In order to improve the matching efficiency of dynamic gesture recognition, we have put forward a modified LB algorithm. First of all, we segment the collecting depth information of gesture in real time, and use a new feature extraction method to describe gesture. After that, we introduce the concept of anchor distance, and apply it to the LB algorithm, for simultaneous classification and recognition. Finally, comparing execution time of other two kinds of algorithms respectively and recognition rate of modified LB algorithm. The experiment results show that the method proposed in this article has improved algorithm performance efficiency in the case of having no influence on recognition rate.