Body Orientation

Body orientation research focuses on accurately determining and representing the 3D posture of humans or robotic systems. Current efforts utilize diverse methods, including inertial measurement units (IMUs) for direct sensing, computer vision techniques processing images or point clouds (often from LiDAR) to infer orientation, and machine learning models (e.g., neural networks) for improved accuracy and robustness in challenging conditions. These advancements have implications for various fields, including human-robot interaction, healthcare monitoring (detecting atypical behavior), and virtual reality applications, by enabling more natural and intuitive interactions and improved safety assessments.