Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping Review
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/13/4786 |
| _version_ | 1827625405567205376 |
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| author | Verena Venek Stefan Kranzinger Hermann Schwameder Thomas Stöggl |
| author_facet | Verena Venek Stefan Kranzinger Hermann Schwameder Thomas Stöggl |
| author_sort | Verena Venek |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T12:35:18Z |
| format | Article |
| id | doaj.art-ca745435f87e4c47846973f07b8476b1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T12:35:18Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ca745435f87e4c47846973f07b8476b12023-11-30T22:25:09ZengMDPI AGSensors1424-82202022-06-012213478610.3390/s22134786Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping ReviewVerena Venek0Stefan Kranzinger1Hermann Schwameder2Thomas Stöggl3Human Motion Analytics, Salzburg Research Forschungsgesellschaft mbH, 5020 Salzburg, AustriaHuman Motion Analytics, Salzburg Research Forschungsgesellschaft mbH, 5020 Salzburg, AustriaDepartment of Sport and Exercise Science, University of Salzburg, 5400 Hallein-Rif, AustriaDepartment of Sport and Exercise Science, University of Salzburg, 5400 Hallein-Rif, AustriaThe 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.https://www.mdpi.com/1424-8220/22/13/4786inertial measurement unitmovement patternobjective assessmentvision-based |
| spellingShingle | Verena Venek Stefan Kranzinger Hermann Schwameder Thomas Stöggl Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping Review Sensors inertial measurement unit movement pattern objective assessment vision-based |
| title | Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping Review |
| title_full | Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping Review |
| title_fullStr | Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping Review |
| title_full_unstemmed | Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping Review |
| title_short | Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping Review |
| title_sort | human movement quality assessment using sensor technologies in recreational and professional sports a scoping review |
| topic | inertial measurement unit movement pattern objective assessment vision-based |
| url | https://www.mdpi.com/1424-8220/22/13/4786 |
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