TY - JOUR A2 - Tsai, Sang-Bing AU - Yu, Yang PY - 2021 DA - 2021/07/15 TI - Accurate Recognition Method of Human Body Movement Blurred Image Gait Features Using Graph Neural Network SP - 1684726 VL - 2021 AB - In view of the problems of low precision, poor quality, and long time of gait feature recognition due to the influence of human body movement environment on the recognition process of the current gait feature recognition method of human body movement blurred image, a new method of gait feature recognition based on graph neural network (GNN) method is proposed.取出人运动模糊图像的词典特征,并用聚合识别GNN算法定位人运动模糊图像的词典特征人文运动语法模糊图像由GNN方法定位轮廓特征信息显示人体运动模糊图像,计算出人行动作特征位置标准偏差,重构人体移动模糊图像的轨迹特征,并实现动作识别人体移动模糊图像结果表明人运动提取良好,高定位可靠性、良好识别质量、平均识别精度92%并大大缩短识别时间SN-1574-017XUR-https://doi.org/101155/2021/1684726DO-10.1155/2021/1684726JF-移动信息系统PB-HindawiKW-ER-