摘要
针对传统的运动训练辅助决策系统在黑暗或者光线较暗的环境中稳定性不足的问题,文中设计一种基于Kinect的运动训练辅助决策支持系统。在硬件设计方面,使用Kinect作为主要硬件,采用TOF技术,设置距离和可达视野角度参数,获取运动训练数据。在软件设计方面,使用Kinect确定人体特征的骨关节点,跟踪人体数据并对其进行平滑处理,将平滑处理后的数据存储在设计的数据仓库中,将分散的数据库连接在一起,作为辅助决策的支撑。在此基础上,对系统内各部分模块设置优先权约束,保证系统的正常运行。至此,系统整体设计完成。实验结果表明,文中设计的基于Kinect的运动训练辅助决策支持系统在黑暗或者光线较暗的情况下,对人体运动图像的识别角度更加精准,关节位置定位误差较小,证明该系统具有良好的稳定性。
In allusion to the problem of insufficient stability of the traditional aid decision making system for the motion training in a dark or dim environment,the design of Kinect⁃based aid decision making support system for the motion training is designed.In terms of hardware design,Kinect is used as the main hardware,and TOF technology is used to set distance and reachable field of view angle parameters to obtain motion training data.In terms of software design,Kinect is used to determine the osteoarticular points of body features,track and smooth the human body data,store the smoothed data in the designed data warehouse,and connect the scattered databases together as support for aid decision making.On this basis,the priority constraint is set for each module in the system to ensure the normal operation of the system.So far,the overall system design is completed.The experimental results show that the designed Kinect⁃based aid decision making support system for the motion training has more accurate recognition angle of human motion image and less joint position positioning error in the dark or dim environment,which proves that the system has good stability.
作者
程杨
唐尧
CHENG Yang;TANG Yao(Guizhou Normal University,Guiyang 550001,China;Guizhou Minzu University,Guiyang 550025,China)
出处
《现代电子技术》
2021年第24期123-126,共4页
Modern Electronics Technique
基金
贵州省自然科学基金项目(黔科合基础[2018]1122)。
作者简介
程杨(1989—),女,回族,河南驻马店人,硕士,讲师,研究方向为计算机辅助训练、大数据运动分析;唐尧(1978—),男,四川大英人,硕士,副教授,研究方向为计算机辅助训练、大数据运动分析。
