Smartwatch AI: The New Era of Gesture Control
AI-summarised brief · reviewed before publication
Researchers at Cornell University and KAIST developed WatchHand, a system enabling real-time 3D hand tracking through AI-powered sonar on standard smartwatches. It uses the speaker and microphone to emit inaudible sound waves, analyzing echoes to estimate hand and finger movements. This innovation requires no additional hardware, making it practical for widespread adoption, and has potential applications in gesture-based computing, virtual reality, and assistive technologies with enhanced privacy and reduced latency.