Smart Sports: Enhancing Physical Performance with IoT and Sensor Technologies
Smart Sports is a pioneering one that employs the Internet of Things (IoT) and sensor technology in optimizing physical performance for sports. Using connected wearables, equipment, and facilities, SmartPitch can collect real-time data for analyses that help improve training techniques and preinjury precautionary methods, leading to improved performance. Smart Sports gives a more complete look at an athlete's performance as the global application of IoT and sensor technology in sports continues to increase. Wearable technology, such as smart clothing, fitness bands, or GPS trackers, is capable of monitoring vital signs and physical information in real-time to assist coaches in analyzing everything relevant to an athlete. Smart Sports applications also include smart equipment and venues like Smart Home Courts or Pitches that are equipped with ball speed, trajectory & impact sensors to deliver instant quantitative feedback to coaches on player technique & performance. The information could be built upon to design a bespoke training program to suit that individual, providing an efficient and potentially very effective product. While the technology can improve player performance, Smart Sports are also used to predict injuries before they happen and give athletes or their coaches a headsup in real-time. IoT has the potential to ensure safer training, thus increasing an athlete's career longevity and quality of life. In general, smart sports can provide a data-driven and customized way to improve physical capacity, prevent injuries, and increase the chances of sporting success.
Authors
- P. S. Pavan
- Aftab Ahmed (ORCID: https://orcid.org/0000-0001-9364-0231)
- Neeraj Das
- Sudhanshu Dev
- Ishika Soni
- Prakash Chandra Sahoo
Institutions
- Jain University (IN)
- Presidency University (IN)
- Siksha O Anusandhan University (IN)
- Maharishi University of Management and Technology (IN)
- Chitkara University (IN)
Publication Details
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1109/autocom64127.2025.10956451
- Primary Topic
- Sports Performance and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00