Radar Sensor Data Fitting for Accurate Linear Sprint Modelling
The results suggest that radar sensors, combined with appropriate modelling techniques, can significantly improve the accuracy of sprint performance analysis, offering valuable insights for both researchers and coaches. Care should be taken when comparing results across studies employing different modelling approaches, as variations in model fitting can impact the derived metrics.
Authors
- Ming‐Chang Tsai (ORCID: https://orcid.org/0000-0002-3338-3306)
- Seth Lenetsky
- Patrick Cormier (ORCID: https://orcid.org/0000-0001-6944-0467)
- Marc Klimstra (ORCID: https://orcid.org/0000-0002-5512-0558)
- Dana Agar-Newman (ORCID: https://orcid.org/0000-0001-7744-9189)
- Daniel Geneau (ORCID: https://orcid.org/0000-0003-4955-7347)
Institutions
- University of Victoria (CA)
- Auckland University of Technology (NZ)
- Canadian Sport Centre Pacific (CA)
Publication Details
- Journal
- Sensors
- Published
- 2024-11-29
- DOI
- https://doi.org/10.3390/s24237632
- Citations
- 1
- Primary Topic
- Optimal Experimental Design Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.49