Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 06, 2021 - June 08, 2021
In this paper, we explain the effectiveness of the dynamic gesture recognition method using static images with Motion History Image (MHI) and an object detection algorithm. As the object detection algorithm, we use YOLOv3 in this study. For efficient learning and recognition of the dynamic gesture with reciprocating motion, the time-domain division of the motion is used. Two experiments were conducted to evaluate the effectiveness of the proposed method. In the first experiment, four dynamic gestures ware detected using proposed method, and the confidence score was 97.95%. In the second experiment, we compared the performance of proposed method with other methods. Finally, we confirmed the detection accuracy as good as other methods.
