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GPS ya Muda-Mwendo×Banister TRIMP×
NyanjaSayansi ya MichezoSayansi ya Michezo
FamiliaHypothesis testHypothesis test
Mwaka wa asili20101975
MwanzilishiOsgnach & Di PramperoEric Banister
AinaGPS trackingmathematical modeling
Chanzo asiliaGregory, 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. link ↗Banister, E. W., Calvert, T. W., Savage, M. V., & Bach, T. (1975). A systems model of training responses and its relationship to muscular strength. Transactions of the ASME, 97(3), 177-183. link ↗
Majina mbadalaGPS analysis, movement tracking, workload quantification, physical demandsTRIMP, training impulse, fitness-fatigue model
Zinazohusiana43
MuhtasariTime-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.The Training Impulse (TRIMP) model, developed by Eric Banister and colleagues (1975), quantifies the physiological stimulus of a training session by combining duration and intensity. The Banister fitness-fatigue model proposes that training effects on performance follow two opposing dynamics: fitness (beneficial) accumulates with time constant tau_f (~42 days) and fatigue (temporary decrement) accumulates faster but decays quickly (tau_d ~5-10 days). By tracking TRIMP and modeling these two processes, coaches can predict performance trajectories and optimize training load. Although superseded by newer frameworks, the Banister model remains influential and intuitive.
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ScholarGateLinganisha mbinu: Time-Motion GPS · Banister TRIMP. Imepatikana 2026-06-19 kutoka https://scholargate.app/sw/compare