Predicting golf ball trajectories from swing plane: An artificial neural networks approach
作者：
Highlights：
• Computational Intelligence (CI) can advance qualitative analysis of human motion.
• CI can provide logical validity for common sense coaching rules from motion data.
• Deviations from individual swing plane influence ball impact and flight pattern.
• Amateur golfers tend to slice/fade/pull over 83% producing ‘Outside-In’ ball impact with the driver.
• Motion data export solution was implemented via clipboard and text processing.
摘要
•Computational Intelligence (CI) can advance qualitative analysis of human motion.•CI can provide logical validity for common sense coaching rules from motion data.•Deviations from individual swing plane influence ball impact and flight pattern.•Amateur golfers tend to slice/fade/pull over 83% producing ‘Outside-In’ ball impact with the driver.•Motion data export solution was implemented via clipboard and text processing.
论文关键词：Computational intelligence,Sport science,Human motion modelling and analysis (HMMA),Augmented coaching,Accessibility, ubiquity, immediacy and unobtrusiveness,Healthcare and big motion data sets
论文评审过程：Received 13 August 2015, Revised 7 July 2016, Accepted 8 July 2016, Available online 14 July 2016, Version of Record 11 September 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.07.014
