论文标题
实时识别练习和计数重复
Recognizing Exercises and Counting Repetitions in Real Time
论文作者
论文摘要
人工智能技术在包括健身行业在内的各种行业中绝对必要。人类姿势估计是过去几年计算机视野领域的重要研究之一。在该项目中，姿势估计和深度机器学习技术被合并，以分析性能并报告实时进行练习的重复的反馈。在健身行业中涉及机器学习技术可以帮助法官计算举重或交叉竞争期间任何运动的重复。
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.
