Open AccessResearch on Motion Intensity Monitoring and Motion Scheme Recommendation Based on Internet of Things
Author(s) -
Yu Chen,
Jiadong Zhu,
Mengnan Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2010/1/012153
Subject(s) - scheme (mathematics) , the internet , motion (physics) , process (computing) , combing , computer science , multimedia , training (meteorology) , field (mathematics) , motion sensors , quality (philosophy) , motion capture , artificial intelligence , world wide web , operating system , mathematical analysis , philosophy , physics , mathematics , cartography , epistemology , meteorology , pure mathematics , geography
With the development of Internet of Things technology, digital sports training will become a hot topic in the field of sports science. Digital exercise training is a training mode of monitoring the quality of the training in real time in the process of using technology to train practitioners and adjusting the physical training process according to the data. By combing the main application of international Internet of technology in sports training, this paper proposes the use of technology to monitor the movement intensity, and realizes the sports scheme intelligently recommended technical scheme, and implements it, and carries out the practical application and achieves commercial benefits according to the monitoring results.