We present Fitness tutor, an application for maintaining correct posture during workout exercises or doing yoga. Current work on fitness focuses on suggesting food supplements, accessing workouts, workout wearables does a great job in improving the fitness. Meanwhile, the current situation is making difficult to monitor workouts by trainee. Inspired by healthcare innovations like robotic surgery, we design a novel application Fitness tutor which can guide the workouts using pose estimation. Pose estimation can be deployed on the reference image for gathering data and guide the user with the data. This allow Fitness tutor to guide the workouts (both exercise and yoga) in remote conditions with a single reference posture as image. We use posenet model in tensorflow with p5js for developing skeleton. Fitness tutor is an application of pose estimation model in bringing a realtime teaching experience in fitness. Our experiments shows that it can leverage potential of pose estimation models by providing guidance in realtime.
翻译:我们介绍健身辅导,这是锻炼锻炼或瑜伽期间保持正确姿势的应用程序。当前健身工作的重点是建议补充食品、获取锻炼、锻炼磨损器在改善健身方面做一个伟大的工作。与此同时,目前的情况使得难以监测受训人员的健身锻炼。受机器人外科手术等保健创新的启发,我们设计了一个新的健身师应用软件,可以用表面估测来指导健身。在收集数据的参考图象上可以部署豆类估计,并用数据指导用户。这使健身辅导能够以单一参考姿势指导偏远条件下的健身(锻炼和瑜伽)的健身师。我们在高龙流中用面网模和p5js来开发骨架。健身师是应用外形估测模型来带来健身方面的实时教学经验。我们的实验表明,它可以通过实时提供指导来利用估算模型的潜力。