Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in Sport
Mastering psychomotor skills, such as those essential in sports, rehabilitation, and professional training, often requires a precise understanding of motion patterns and performance metrics. This study proposes a versatile framework for optimizing psychomotor learning through human motion analysis....
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10858126/ |
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| author | Mahela Pandukabhaya Tharaka Fonseka Madhumini Kulathunge Roshan Godaliyadda Parakrama Ekanayake Chanaka Senanayake Vijitha Herath |
| author_facet | Mahela Pandukabhaya Tharaka Fonseka Madhumini Kulathunge Roshan Godaliyadda Parakrama Ekanayake Chanaka Senanayake Vijitha Herath |
| author_sort | Mahela Pandukabhaya |
| collection | DOAJ |
| description | Mastering psychomotor skills, such as those essential in sports, rehabilitation, and professional training, often requires a precise understanding of motion patterns and performance metrics. This study proposes a versatile framework for optimizing psychomotor learning through human motion analysis. Utilizing a wearable IMU sensor system, the motion trajectories of a given psychomotor task are acquired and then linked to points in a performance space using a predefined set of quality metrics specific to the psychomotor skill. This enables the identification of a benchmark cluster in the performance space, which represents a group of reference points that define optimal performance across multiple criteria, allowing correspondences to be established between the performance clusters and sets of trajectories in the motion space. As a result, common or specific deviations in the performance space can be identified, enabling remedial actions in the motion space to optimize performance. A thorough validation of the proposed framework is done in this paper using a Table Tennis forehand stroke as a case study. The resulting quantitative and visual representation of performance empowers individuals to optimize their skills and achieve peak performance. |
| format | Article |
| id | doaj-art-e05a7e5c8ee14234bc0fa5210e165c6f |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-e05a7e5c8ee14234bc0fa5210e165c6f2025-02-12T00:02:21ZengIEEEIEEE Access2169-35362025-01-0113254322544510.1109/ACCESS.2025.353683710858126Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in SportMahela Pandukabhaya0https://orcid.org/0009-0005-8158-4144Tharaka Fonseka1https://orcid.org/0009-0005-6403-0166Madhumini Kulathunge2https://orcid.org/0009-0005-6623-5667Roshan Godaliyadda3https://orcid.org/0000-0002-3495-481XParakrama Ekanayake4https://orcid.org/0000-0002-5639-8105Chanaka Senanayake5https://orcid.org/0000-0002-1875-1641Vijitha Herath6https://orcid.org/0000-0002-2094-0716Department of Electrical and Electronic Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri LankaDepartment of Electrical and Electronic Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri LankaDepartment of Electrical and Electronic Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri LankaDepartment of Electrical and Electronic Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri LankaDepartment of Electrical and Electronic Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri LankaDepartment of Manufacturing and Industrial Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri LankaDepartment of Electrical and Electronic Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri LankaMastering psychomotor skills, such as those essential in sports, rehabilitation, and professional training, often requires a precise understanding of motion patterns and performance metrics. This study proposes a versatile framework for optimizing psychomotor learning through human motion analysis. Utilizing a wearable IMU sensor system, the motion trajectories of a given psychomotor task are acquired and then linked to points in a performance space using a predefined set of quality metrics specific to the psychomotor skill. This enables the identification of a benchmark cluster in the performance space, which represents a group of reference points that define optimal performance across multiple criteria, allowing correspondences to be established between the performance clusters and sets of trajectories in the motion space. As a result, common or specific deviations in the performance space can be identified, enabling remedial actions in the motion space to optimize performance. A thorough validation of the proposed framework is done in this paper using a Table Tennis forehand stroke as a case study. The resulting quantitative and visual representation of performance empowers individuals to optimize their skills and achieve peak performance.https://ieeexplore.ieee.org/document/10858126/Benchmarkingextended Kalman filterjoint anglesIMUperformance spacepsychomotor skills |
| spellingShingle | Mahela Pandukabhaya Tharaka Fonseka Madhumini Kulathunge Roshan Godaliyadda Parakrama Ekanayake Chanaka Senanayake Vijitha Herath Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in Sport IEEE Access Benchmarking extended Kalman filter joint angles IMU performance space psychomotor skills |
| title | Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in Sport |
| title_full | Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in Sport |
| title_fullStr | Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in Sport |
| title_full_unstemmed | Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in Sport |
| title_short | Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in Sport |
| title_sort | performance benchmarking of psychomotor skills using wearable devices an application in sport |
| topic | Benchmarking extended Kalman filter joint angles IMU performance space psychomotor skills |
| url | https://ieeexplore.ieee.org/document/10858126/ |
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