Exploring relations between EMG and biomechanical data recorded during a golf swing

作者：

Highlights：

• A novel technique to explore relations between EMG and biomechanical data is presented.

• Statistically significant relations between EMG and biomechanical data were revealed.

• High prediction accuracy of peak angular velocity of thorax and pelvis was obtained.

• Insights concerning coordination of human body parts during a golf swing were obtained.

摘要

•A novel technique to explore relations between EMG and biomechanical data is presented.•Statistically significant relations between EMG and biomechanical data were revealed.•High prediction accuracy of peak angular velocity of thorax and pelvis was obtained.•Insights concerning coordination of human body parts during a golf swing were obtained.

论文关键词：Canonical correlation,Random forest,Prediction,EMG,Golf

论文评审过程：Received 5 April 2016, Revised 28 April 2017, Accepted 28 June 2017, Available online 29 June 2017, Version of Record 4 July 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.06.041