This research addresses exercise-related injuries by modeling individual physical capacity rather than relying on population averages. Using physiological and biomechanical data combined with machine learning, it aims to create personalized, dynamic thresholds for training. The goal is to prevent injury by aligning workload with real-time capacity, improving safety and long-term fitness outcomes.

This research introduces an ultra-wideband tracking system to detect heat stress in dairy cows through behavior monitoring. By analyzing movement patterns with 98% accuracy, it enables early intervention and targeted cooling. The solution improves animal welfare, boosts milk production, and helps farmers manage labor and efficiency challenges in modern dairy farming.