Smartphone Video

Smartphone video analysis is a rapidly evolving field focusing on extracting meaningful information from readily available video data. Current research emphasizes developing robust methods for video-based motion capture, often integrating data from other sensors like IMUs to improve accuracy and address challenges like occlusion. This work is driven by applications in diverse areas, including biomechanics (e.g., gait analysis), forensic science (e.g., video authentication), and healthcare (e.g., remote physiological monitoring), with researchers exploring both traditional computer vision techniques and deep learning models like transformers and CNNs for efficient processing. The resulting advancements promise to improve the accuracy and accessibility of various applications, impacting fields ranging from sports science to medical diagnostics.