摘要
由于社会生活、工作节奏越来越快,许多人没有足够的时间与金钱去请私人教练或者去健身房健身。个人进行自我锻炼的时候,难免会有动作不规范的情况存在。众所周知,养成正确规范的仰卧起坐动作有助于提升身体协调度,肌肉系统、神经系统等形成正反馈,达到增强体质,巩固锻炼成果。仅仅依靠自身来进行动作及时纠正显然不太现实。针对以上现象,本文开发设计出一套动作训练纠正系统,通过识别用户行为动作来判断用户健身动作是否标准,以此纠正健身动作的不规范甚至错误,提升健身效果。本项目以Python作为开发语言,以SQLite为数据库,用PyQt实现用户界面,调用OpenCV函数库并结合TensorFlow框架实现特征点提取。最终可为运动爱好者提供一个有效的健身动作管理及指导平台。
Due to the rapid pace of social life and work, many people do not have enough time and money to hire a coach or go to the gym. And when they exercise themselves, it is inevitable that there will be irregular movements. As we all know, the formation of correct and standardized sit-ups helps to improve the coordination of the body, to form positive feedback for the muscle system and the nervous system, and to consolidate the results of physical exercise. However, it is obviously not very realistic to rely on themselves to correct their own sit-ups all the time. In view of the above phenomenon, a set of training action correction system was developed and designed by identifying the user's behavior action to judge whether the user's fitness action is standard, to correct the non-standard or even wrong of the fitness action, and to improve the fitness effect. In this project, Python is used as the development language, SQLite is selected as the database, PyQt is used to realize the user interface, and OpenCV function library call and TensorFlow framework are used to extract feature points. Finally, it can provide an effective fitness movement management and guidance platform for sports enthusiasts.
出处
《计算机科学与应用》
2021年第3期690-702,共13页
Computer Science and Application
