Human Body Motion

Human body motion analysis focuses on accurately capturing and interpreting human movement, primarily for healthcare applications, human-robot interaction, and activity recognition. Current research emphasizes developing robust methods for motion estimation using vision-based systems, radio frequency signals, and inertial measurement units, often incorporating deep learning architectures like transformers and graph convolutional networks to process complex spatio-temporal data. These advancements aim to improve the accuracy and reliability of motion capture in challenging real-world conditions, leading to better diagnostics, safer human-robot collaboration, and more effective activity monitoring systems.