Motion Capture System

Motion capture systems aim to accurately record and analyze human or object movement, primarily for applications in robotics, healthcare, and entertainment. Current research emphasizes improving accuracy and expanding capture volume through the integration of multiple sensors (e.g., smartphones, smartwatches, LiDAR, multiple cameras), often employing advanced algorithms like deep learning models (e.g., variational autoencoders) and novel calibration techniques to address challenges like occlusion and non-overlapping fields of view. These advancements are driving improvements in areas such as human-robot interaction, gait analysis, and 3D modeling, offering more accessible and robust motion capture solutions for a wider range of applications.