HIGHLIGHTS
- who: Sport Fatigue Monitoring et al. from the Qiqihar University, China* have published the Article: DOI: 10.4018/IJDST.317941 *Corresponding Author, in the Journal: (JOURNAL)
- what: To solve this issue and improve the quality of athlete`s daily training this paper establish a system by using First the sEMG signals of athlete are collected by which are installed in a wearable device. The experiments show that the proposed system can recognize more than 90% muscle states. The research shows that the contraction mode of muscle can be divided into isometric contraction and isometric contraction . . .
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