Muscle Fatigue

Muscle fatigue research aims to understand the physiological mechanisms and consequences of muscle tiredness, focusing on accurate measurement and prediction for improved health and performance. Current research employs diverse approaches, including deep learning models analyzing thermal facial images and physiological signals, as well as sophisticated optimal control simulations incorporating dynamic fatigue models like three-compartment controllers to predict muscle behavior during tasks. These advancements are crucial for optimizing training regimens, preventing work-related musculoskeletal disorders, and enhancing the realism of virtual character animation, ultimately improving human health and performance across various fields.