Automated exercise classification for wearable-sensor based weight training performance monitoring

Push Inc.是一家总部位于安大略省多伦多的加拿大初创公司，专注于可穿戴健身的开发 用于运动重量训练的器械。Push开发了一种可穿戴的健身设备和配套的移动设备 一款应用程序，允许运动员跟踪他们的举重练习并计算性能指标，如 速度、功率、力和机械功，他们可以用来监控他们的训练表现和 进步。在目前的系统实施中，用户必须手动输入练习类型和负荷 进入应用程序，让系统知道当前正在进行的是哪种运动。如果系统可以 自动检测正在执行的练习，这将消除用户指定它们的需要 手动，增加了可用性和便利性，减少了手动输入错误。建议的目的是 研究内容是开发数据处理和分类算法，使系统能够自动 从测量的运动中检测正在进行的运动的类型。

Push Inc. is a Canadian startup based in Toronto, Ontario, focused on the development of wearable fitness devices for athletic weight training. Push has developed a wearable fitness device and accompanying mobile app that allows athletes to track their weight lifting exercises and compute performance metrics such as velocity, power, force and mechanical work, which they can use to monitor their training performance and progress. In the current implementation of the system, users must manually enter the exercise type and load into the app, to allow the system to know which exercise is currently being performed. If the system could detect the exercise being performed automatically, this would eliminate the need for the user to specify them manually, increasing usability and convenience, and reducing manual input errors. The aim of the proposed research is to develop the data processing and classification algorithms to enable the system to automatically detect the type of exercise being performed from the measured movement.