实时的识别练习并计算重复次数
Recognizing Exercises and Counting Repetitions in Real Time
摘要：
人工智能技术已经在包括健身行业在内的各种行业中占据绝对必要的地位。人体姿态估计是近年来计算机视觉领域的重要研究内容之一。在这个项目中，姿势估计和深度机器学习技术相结合，以分析性能和报告反馈的重复执行的练习实时。将机器学习技术引入健身行业可以帮助裁判在举重或CrossFit比赛中计算任何运动的重复次数。
英文摘要：
Artificial intelligence technology has made its way absolutely necessary in a variety of industries including the fitness industry. Human pose estimation is one of the important researches in the field of Computer Vision for the last few years. In this project, pose estimation and deep machine learning techniques are combined to analyze the performance and report feedback on the repetitions of performed exercises in real-time. Involving machine learning technology in the fitness industry could help the judges to count repetitions of any exercise during Weightlifting or CrossFit competitions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
