球拍
可穿戴计算机
运动生物力学
计算机科学
运动分析
运动(物理)
运动学
可穿戴技术
惯性测量装置
运动捕捉
人机交互
体育科学
物理医学与康复
模拟
人工智能
工程类
医学
摇摆
经典力学
机械工程
物理
嵌入式系统
生理学
作者
Chantelle Jean Rigozzi,Gareth A. Vio,Philip Poronnik
标识
DOI:10.1177/17479541221138015
摘要
The use of wearable devices for player motion analysis is becoming a popular method to measure kinematic parameters associated with player techniques in racket sports. This systematic review focused on identifying the current applications of wearable technology for player motion analysis in racket sports (tennis, table tennis, badminton and squash) through two research questions: (1) What are the existing applications of wearable technology for player motion analysis in racket sports? (2) What data analysis methods are used to quantify and evaluate player motion? A comprehensive search of MEDLINE, EMBASE, SPORTDiscus, Scopus, Web of Science, and IEEE databases was undertaken following PRISMA reporting guidelines. Included studies must have only used external wearable technology mounted to either the player or the racket for the potential application of player motion analysis in a racket sport, tested the wearable technology under normal playing conditions and not only focused on detecting/classifying the player's stroke or activity movement. Of the 6616 articles found, a total of 15 studies met the inclusion and exclusion criteria. Tennis and table tennis were the most popular sports researched and inertial measurement units and electromyography sensors were the most common types of sensors used. This review found that wearable devices were mainly used to analyze (1) movement similarities and differences of players at different playing levels, (2) variability in racket, upper limb and joint movement patterns and (3) movement differences associated with different ball spin levels. These technologies can create a new level of accessible personalized training in these sports.
科研通智能强力驱动
Strongly Powered by AbleSci AI