Human Motion Analytics, Salzburg Research Forschungsgesellschaft mbH, 5020 Salzburg, Austria.
Department of Sport and Exercise Science, University of Salzburg, 5400 Hallein-Rif, Austria.
Sensors (Basel). 2022 Jun 24;22(13):4786. doi: 10.3390/s22134786.
The use of sensor technology in sports facilitates the data-driven evaluation of human movement not only in terms of quantity but also in terms of quality. This scoping review presents an overview of sensor technologies and human movement quality assessments in ecologically-similar environments. We searched four online databases to identify 16 eligible articles with either recreational and/or professional athletes. A total of 50% of the studies used inertial sensor technology, 31% vision-based sensor technology. Most of the studies (69%) assessed human movement quality using either the comparison to an expert's performance, to an exercise definition or to the athletes' individual baseline performance. A total of 31% of the studies used expert-based labeling of the movements to label data. None of the included studies used a control group-based study design to investigate impact on training progress, injury prevention or behavior change. Although studies have used sensor technology for movement quality assessment, the transfer from the lab to the field in recreational and professional sports is still emerging. Hence, research would benefit from impact studies of technology-assisted training interventions including control groups as well as investigating features of human movement quality in addition to kinematic parameters.
传感器技术在体育运动中的应用不仅可以实现对人体运动的数量评估,还可以实现质量评估。本综述概述了传感器技术和生态相似环境中人体运动质量评估。我们在四个在线数据库中搜索,确定了 16 篇符合条件的文章,其中包括娱乐和/或职业运动员。研究中使用惯性传感器技术的占 50%,使用基于视觉的传感器技术的占 31%。大多数研究(69%)使用与专家表现、运动定义或运动员个人基准表现的比较来评估人体运动质量。研究中使用基于专家的运动标签对数据进行标记的占 31%。没有研究使用基于对照组的研究设计来调查对训练进展、预防损伤或行为改变的影响。虽然研究已经使用传感器技术进行运动质量评估,但在娱乐和职业运动中从实验室到现场的应用仍在发展中。因此,研究将受益于对包括对照组在内的技术辅助训练干预的影响研究,以及除运动学参数外,还研究人体运动质量的特征。