Research on aerobics action modal recognition algorithm based on fuzzy system and reinforcement learning

Nowadays, human movement recognition technology has received a high degree of attention and has been used in a variety of fields such as intelligent security and motion analysis. The traditional action recognition method relies on artificial extraction of features, not only the recognition efficiency is low, and the recognition accuracy is not high, has been unable to meet the requirements of action recognition. The action recognition method based on reinforcement learning can automatically extract features, greatly simplifying the process of manual feature extraction in the traditional method, but at the same time, it also has some defects such as easy to be disturbed by external environment and complicated network training. In view of this situation, this paper takes aerobics action recognition as an example, proposes an action recognition algorithm based on Fuzzy least squares support vector machine, and adopts Fuzzy LS-SVM classification algorithm to realize the classification of actions on the feature set. The results of the study show that the aerobics movement recognition algorithm proposed in this paper has more excellent performance compared to the traditional recognition algorithms.