MediaPipe Hand

MediaPipe Hands (MPH) is a high-performance hand tracking framework leveraging deep learning to accurately detect and track hand and finger movements in 3D space. Current research focuses on validating its accuracy against gold-standard methods for clinical applications like assessing hand dysfunction and refining its performance in challenging scenarios such as close-proximity human-robot interaction and recognizing complex hand gestures like Thai finger spelling. MPH's lightweight design and high accuracy make it a valuable tool for diverse applications ranging from human-computer interaction and virtual reality to healthcare and robotics.