The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.
Review on Wearable Technology in Sports: Concepts, Challenges and Opportunities
Open accessAbstract
Wearable technology is increasingly vital for improving sports performance through real-time data analysis and tracking. Both professional and amateur athletes rely on wearable sensors to enhance training efficiency and competition outcomes. However, further research is needed to fully understand and optimize their potential in sports. This comprehensive review explores the measurement and monitoring of athletic performance, injury prevention, rehabilitation, and overall performance optimization using body wearable sensors. By analyzing wearables’ structure, research articles across various sports, and commercial sensors, the review provides a thorough analysis of wearable sensors in sports. Its findings benefit athletes, coaches, healthcare professionals, conditioners, managers, and researchers, offering a detailed summary of wearable technology in sports. The review is expected to contribute to future advancements in wearable sensors and biometric data analysis, ultimately improving sports performance. Limitations such as privacy concerns, accuracy issues, and costs are acknowledged, stressing the need for legal regulations, ethical principles, and technical measures for safe and fair use. The importance of personalized devices and further research on athlete comfort and performance impact is emphasized. The emergence of wearable imaging devices holds promise for sports rehabilitation and performance monitoring, enabling enhanced athlete health, recovery, and performance in the sports industry.
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Cites
A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis
Pantelopoulos, A., & Bourbakis, N. G. (2010) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2009.2032660 · Cited by 2,296
Monitoring Training Load to Understand Fatigue in Athletes
Halson, S. L. (2014) · Sports Medicine · doi:10.1007/s40279-014-0253-z · Cited by 1,843
The training—injury prevention paradox: should athletes be training smarter and harder?
Gabbett, T. J. (2016) · British Journal of Sports Medicine · doi:10.1136/bjsports-2015-095788 · Cited by 1,621
Overtraining and Recovery: A Conceptual Model
Kenttä, G., & Hassmén, P. (1998) · Sports Medicine · doi:10.2165/00007256-199826010-00001 · Cited by 750
Thermal comfort: A review paper
Djongyang, N., Tchinda, R., & Njomo, D. (2010) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2010.07.040 · Cited by 723
Wearable soft sensing suit for human gait measurement
Mengüç, Y., Park, Y.-L., Pei, H., Vogt, D., Aubin, P. M., Winchell, E., Fluke, L., Stirling, L., Wood, R. J., & Walsh, C. J. (2014) · The International Journal of Robotics Research · doi:10.1177/0278364914543793 · Cited by 415
Review on Wearable Technology Sensors Used in Consumer Sport Applications
Aroganam, G., Manivannan, N., & Harrison, D. (2019) · Sensors · doi:10.3390/s19091983 · Cited by 370
Wearable Performance Devices in Sports Medicine
Li, R. T., Kling, S. R., Salata, M. J., Cupp, S. A., Sheehan, J., & Voos, J. E. (2016) · Sports Health: A Multidisciplinary Approach · doi:10.1177/1941738115616917 · Cited by 348
The Use of Wearable Microsensors to Quantify Sport-Specific Movements
Chambers, R., Gabbett, T. J., Cole, M. H., & Beard, A. (2015) · Sports Medicine · doi:10.1007/s40279-015-0332-9 · Cited by 342
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Cited by
Haresamudram, H., Essa, I., & Plötz, T. (2024) · Sensors · doi:10.3390/s24041238 · Cited by 14
Metadata
- Authors
- Seçkin, A. Ç., Ateş, B., & Seçkin, M.
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2023-09-17
- Volume
- 13
- Issue
- 18
- Pages
- 10399
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W4386814306
- Cited by
- 279
- References
- 109
- FWCI
- 25.37
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.