Physical Activity

Physical activity research focuses on understanding and optimizing human movement for health and well-being, encompassing diverse applications from rehabilitation to athletic performance. Current research employs various methods, including video analysis with deep learning architectures like X3D-SlowFast networks, wearable sensor data analyzed via machine learning algorithms (e.g., LSTMs, Transformers), and even novel approaches using audio and near-infrared imaging. These advancements aim to improve exercise classification, personalized feedback, and objective assessment of fitness levels, ultimately impacting healthcare, fitness technology, and our understanding of human movement.