Motion Capture

Motion capture (MoCap) aims to record and reconstruct human movement, primarily for applications in animation, virtual reality, and human-computer interaction. Current research emphasizes developing robust and efficient MoCap systems using diverse sensor modalities, including cameras (both multi-view and egocentric), inertial measurement units (IMUs), and even smartwatches, often incorporating deep learning models like transformers and diffusion models for pose estimation and motion synthesis. These advancements are driving progress in areas such as human-object interaction modeling, ergonomic analysis in industrial settings, and the creation of realistic digital avatars for immersive experiences, impacting fields ranging from healthcare to entertainment.