Department of Physical Education and Research, Yang-En University, Quanzhou 362014, China.
Department of Physical Education, Tangshan Normal University, Tangshan 063000, China.
Comput Math Methods Med. 2022 Apr 21;2022:2287991. doi: 10.1155/2022/2287991. eCollection 2022.
The existing recognition methods of complex human movements in Wushu have the problem of imperfect kinetic energy model, which leads to low recognition accuracy. A complex human motion recognition method based on bone point features is designed. Identify martial arts movement posture, combine the upward movement of human center of gravity trajectory, establish the kinetic energy model of joints according to the positioning results of extremity points, set the threshold of local spatial differences of human bones with the central node of hip joint as the center point, avoid overcalculation, and optimize the complex motion identification process by combining the characteristics of bone points. . The correct rate of different types of actions identified by this method is 90.1% and 92.7%, and the identification time is 1.2 s and 1.41 s, which shows that this method can identify actions quickly and effectively by combining the feature information of bone points.
现有的武术复杂人体动作识别方法存在运动动能模型不完善的问题,导致识别准确率低。为此,设计了一种基于骨骼点特征的复杂人体运动识别方法。识别武术运动姿势,结合人体重心轨迹的上升运动,根据肢体关键点的定位结果建立关节的动能模型,以髋关节中心点为中心设置以人体骨骼局部空间差异的阈值,避免过度计算,并结合骨骼点的特征优化复杂运动识别过程。该方法对不同类型动作的识别正确率分别为 90.1%和 92.7%,识别时间分别为 1.2s 和 1.41s,表明该方法可以通过骨骼点的特征信息快速有效地识别动作。