Inertial Motion Capture

Inertial motion capture (IMC) uses inertial measurement units (IMUs) to track human movement, aiming to provide accurate and affordable alternatives to optical systems. Current research focuses on improving accuracy through data augmentation techniques (e.g., using VAEs and physical optimization), integrating IMU data with other sensor modalities like cameras (e.g., via SLAM and bundle adjustment), and employing advanced machine learning models (e.g., recurrent and transformer networks) for improved pose estimation. These advancements are significant for applications ranging from robotics and virtual reality to clinical movement analysis, offering portable and cost-effective solutions for a wide range of motion tracking needs.