Gesture Recognition
Gesture recognition is the ability of a computer system to identify and interpret human hand movements, body postures, or facial expressions from images or video. The goal is to translate physical gestures into commands or data that software can act on, enabling natural interaction without keyboards, mice, or touchscreens.
Technical approaches range from skeleton-based methods (detecting hand or body keypoints and classifying their configuration) to appearance-based methods (feeding raw image crops of hands or bodies through a classifier). Hand gesture recognition typically uses pose estimation to locate finger joints, then classifies the pose into predefined gestures (thumbs up, peace sign, pointing). Full-body gesture recognition combines pose estimation with temporal modeling to recognize dynamic actions like waving, beckoning, or sign language.
Applications include sign language translation, touchless interfaces in sterile environments (operating rooms, clean rooms), gaming and VR/AR interaction (hand tracking in Meta Quest, Apple Vision Pro), automotive controls (in-cabin gesture recognition for adjusting volume or navigation), and industrial settings where workers wear gloves and cannot use touchscreens. MediaPipe and similar frameworks provide real-time hand and body tracking that runs on mobile devices.
