Data acquisition of exercise and fitness pressure measurement based on artificial intelligence technology
Hunan City University · Soochow University
Abstract
This project aims to improve the accuracy of fitness and physical pressure ratings, focusing on basketball, by integrating artificial intelligence (AI) into data collection and training. Athletes and fitness fanatics can benefit greatly from the data collected using complex AI algorithms to determine stress levels. This study employs the Intelligent Physiological Monitoring Framework for Exercise and Fitness Pressure Measurement (IPM-EFPM) to perform automated stress tests that employ AI to enhance the precision of exercise and fitness pressure measurements. Basketball training programs can benefit from this framework's utilization of state-of-the-art technology, meticulous monitoring of exercise-induced…
Citation impact
- FWCI
- 131.94
- Percentile
- 100%
- References
- 24
Authors
2- RLRu LiuCorresponding
Hunan City University
- WSWenxi Shen
Soochow University
Topics & keywords
- Artificial intelligence
- Computer science
- Machine learning