Quantitative Evaluation of Gymnastics Based on Multiple MEMS Sensors

Author:

Zhao YuliangORCID,Meng XiaoliangORCID,Ren XianshouORCID,Lian ChaoORCID,Sun Jiaheng,Sha XiaopengORCID,Wang Shuyu,Li Lianjiang,Li Wen JungORCID

Funder

National Natural Science Foundation of China

Hebei Natural Science Foundation

Scientific Research Project of Colleges and Universities in Hebei Province

Science and Technology Planning Project of Hebei Province

Fundamental Research Funds for the Central Universities

Science and Technology Planning Project of Qinhuangdao

State Key Laboratory of Robotics

Chinese Academy of Sciences (CAS)-Research Grants Council (RGC) Joint Laboratory Funding Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

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2. AI-Embedded Motion Sensors for Sports Performance Analytics;2024 IEEE 3rd International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS);2024-03-02

3. Image expression of time series data of wearable IMU sensor and fusion classification of gymnastics action;Expert Systems with Applications;2024-03

4. Development Reflection Application for Backward Roll Motion based on Pose Recognition;Proceedings of the 2024 13th International Conference on Software and Computer Applications;2024-02

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