পদ্ধতির তুলনা করুন

	সময়-গতি জিপিএস	Session RPE
ক্ষেত্র	ক্রীড়া বিজ্ঞান	ক্রীড়া বিজ্ঞান
পরিবার	Hypothesis test	Hypothesis test
উদ্ভবের বছর	2010	2001
প্রবর্তক	Osgnach & Di Prampero	Carl Foster
ধরন	GPS tracking	subjective intensity assessment
মৌলিক উৎস	Gregory, P., & Drust, B. (2007). Physical demands of rugby union: quantification of accelerations and movements patterns in play. Journal of Strength and Conditioning Research, 21(2), 309-314.	Foster, C., Florhaug, J. A., Franklin, J., Gottschall, L., Hrovatin, L. A., Parker, S., & Dodge, C. (2001). A new approach to monitoring exercise training. Journal of Strength and Conditioning Research, 15(1), 109-115.
অপর নাম	GPS analysis, movement tracking, workload quantification, physical demands	sRPE, perceived exertion, subjective load
সম্পর্কিত	4	3
সারসংক্ষেপ	Time-motion analysis with GPS and micro-sensor technology quantifies the movement patterns, workload, and physical demands during training or match play in team sports. Pioneered by Osgnach and colleagues (2010), modern GPS units track athletes' positions in real-time, calculating distance covered, velocity profiles, and acceleration/deceleration frequencies. Combined with heart rate and other sensor data, GPS analysis provides comprehensive workload quantification enabling coaching staff to monitor player fatigue, balance training intensity, and prevent injury. GPS is now standard in elite soccer, rugby, Australian Rules football, and other intermittent sports.	Session rate of perceived exertion (sRPE) is a simple, athlete-centered method to quantify training load by combining perceived exertion intensity (RPE, 0-10 scale) with session duration. Introduced by Carl Foster (2001), sRPE avoids the need for external equipment (heart rate monitors, GPS, force plates) and captures the integrated physiological and psychological demands of any training modality. Despite its simplicity, sRPE correlates well with objective physiological markers (heart rate, lactate, VO2) and is widely adopted in elite and recreational sports for load management and recovery planning.