A Wearable System for the Estimation of Performance-Related Metrics during Running and Jumping Tasks
Athletic performance, technique assessment, and injury prevention are all important aspects in sports for both professional and amateur athletes. Wearable technology is attracting the research community’s interest because of its capability to provide real-time biofeedback to coaches and athletes whe...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/11/5258 |
| _version_ | 1827690529143390208 |
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| author | Salvatore Tedesco Davide Alfieri Eduardo Perez-Valero Dimitrios-Sokratis Komaris Luke Jordan Marco Belcastro John Barton Liam Hennessy Brendan O’Flynn |
| author_facet | Salvatore Tedesco Davide Alfieri Eduardo Perez-Valero Dimitrios-Sokratis Komaris Luke Jordan Marco Belcastro John Barton Liam Hennessy Brendan O’Flynn |
| author_sort | Salvatore Tedesco |
| collection | DOAJ |
| description | Athletic performance, technique assessment, and injury prevention are all important aspects in sports for both professional and amateur athletes. Wearable technology is attracting the research community’s interest because of its capability to provide real-time biofeedback to coaches and athletes when on the field and outside of more restrictive laboratory conditions. In this paper, a novel wearable motion sensor-based system has been designed and developed for athletic performance assessment during running and jumping tasks. The system consists of a number of components involving embedded systems (hardware and software), back-end analytics, information and communications technology (ICT) platforms, and a graphical user interface for data visualization by the coach. The system is able to provide automatic activity recognition, estimation of running and jumping metrics, as well as vertical ground reaction force (GRF) predictions, with sufficient accuracy to provide valuable information as regards training outcomes. The developed system is low-power, sufficiently small for real-world scenarios, easy to use, and achieves the specified communication range. The system’s high sampling rate, levels of accuracy and performance enables it as a performance evaluation tool able to support coaches and athletes in their real-world practice. |
| first_indexed | 2024-03-10T10:41:24Z |
| format | Article |
| id | doaj.art-d6f6723e9cc9437f88285c22349a5dfb |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T10:41:24Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-d6f6723e9cc9437f88285c22349a5dfb2023-11-21T22:58:04ZengMDPI AGApplied Sciences2076-34172021-06-011111525810.3390/app11115258A Wearable System for the Estimation of Performance-Related Metrics during Running and Jumping TasksSalvatore Tedesco0Davide Alfieri1Eduardo Perez-Valero2Dimitrios-Sokratis Komaris3Luke Jordan4Marco Belcastro5John Barton6Liam Hennessy7Brendan O’Flynn8Tyndall National Institute, University College Cork, Lee Maltings Complex, Dyke Parade, T12R5CP Cork, IrelandTyndall National Institute, University College Cork, Lee Maltings Complex, Dyke Parade, T12R5CP Cork, IrelandTyndall National Institute, University College Cork, Lee Maltings Complex, Dyke Parade, T12R5CP Cork, IrelandTyndall National Institute, University College Cork, Lee Maltings Complex, Dyke Parade, T12R5CP Cork, IrelandSetanta College, Thurles Enterprise Centre, Thurles, Co., Jimmy Doyle Rd, E41AP65 Tipperary, IrelandTyndall National Institute, University College Cork, Lee Maltings Complex, Dyke Parade, T12R5CP Cork, IrelandTyndall National Institute, University College Cork, Lee Maltings Complex, Dyke Parade, T12R5CP Cork, IrelandSetanta College, Thurles Enterprise Centre, Thurles, Co., Jimmy Doyle Rd, E41AP65 Tipperary, IrelandTyndall National Institute, University College Cork, Lee Maltings Complex, Dyke Parade, T12R5CP Cork, IrelandAthletic performance, technique assessment, and injury prevention are all important aspects in sports for both professional and amateur athletes. Wearable technology is attracting the research community’s interest because of its capability to provide real-time biofeedback to coaches and athletes when on the field and outside of more restrictive laboratory conditions. In this paper, a novel wearable motion sensor-based system has been designed and developed for athletic performance assessment during running and jumping tasks. The system consists of a number of components involving embedded systems (hardware and software), back-end analytics, information and communications technology (ICT) platforms, and a graphical user interface for data visualization by the coach. The system is able to provide automatic activity recognition, estimation of running and jumping metrics, as well as vertical ground reaction force (GRF) predictions, with sufficient accuracy to provide valuable information as regards training outcomes. The developed system is low-power, sufficiently small for real-world scenarios, easy to use, and achieves the specified communication range. The system’s high sampling rate, levels of accuracy and performance enables it as a performance evaluation tool able to support coaches and athletes in their real-world practice.https://www.mdpi.com/2076-3417/11/11/5258accelerometerground reaction forceGRFinertial measurement unitIMUjumping |
| spellingShingle | Salvatore Tedesco Davide Alfieri Eduardo Perez-Valero Dimitrios-Sokratis Komaris Luke Jordan Marco Belcastro John Barton Liam Hennessy Brendan O’Flynn A Wearable System for the Estimation of Performance-Related Metrics during Running and Jumping Tasks Applied Sciences accelerometer ground reaction force GRF inertial measurement unit IMU jumping |
| title | A Wearable System for the Estimation of Performance-Related Metrics during Running and Jumping Tasks |
| title_full | A Wearable System for the Estimation of Performance-Related Metrics during Running and Jumping Tasks |
| title_fullStr | A Wearable System for the Estimation of Performance-Related Metrics during Running and Jumping Tasks |
| title_full_unstemmed | A Wearable System for the Estimation of Performance-Related Metrics during Running and Jumping Tasks |
| title_short | A Wearable System for the Estimation of Performance-Related Metrics during Running and Jumping Tasks |
| title_sort | wearable system for the estimation of performance related metrics during running and jumping tasks |
| topic | accelerometer ground reaction force GRF inertial measurement unit IMU jumping |
| url | https://www.mdpi.com/2076-3417/11/11/5258 |
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