Research on Contactless Identification and Evaluation of Unarmed Fitness Activity

Abstract

For low accuracy in the recognition and evaluation of unarmed fitness activities, analyzing the impact of the diversity of the execution speed of unarmed fitness activities on the recognition and evaluation results, a contactless recognition and evaluation method of unarmed fitness activities has been proposed by using the normalization to improve dynamic time warping (DTW) algorithm. As can be seen, the proposed method can reduce the influence of activity execution speed change on activity recognition and evaluation, so as to improve the contactless recognition accuracy of unarmed fitness activities. Meanwhile, the overall recognition accuracy can reach 0.91, and the positive rate can be more than 0.84, which has strong robustness.