Photos: Meta's new wristband translates hand movements to digital commands

Meta researchers have developed a novel wristband called sEMG-RD (surface electromyography research device) that translates hand gestures into digital commands by interpreting electrical motor nerve signals from muscle movements at the wrist. The device uses 16 gold-plated dry electrodes arranged around the wrist to capture muscle contraction signals at a high sampling rate, enabling real-time gesture recognition without the need for skin preparation or conductive gels. Its modular design accommodates different wrist sizes and muscle configurations, while separating the heavier processing components into a separate capsule to enhance user comfort. The sEMG-RD supports a wide range of computer interactions beyond simple cursor control, including finger pinches, thumb swipes, thumb taps, and handwriting-like text entry at speeds of about 20.9 words per minute. By employing deep learning models trained on data from many users, the system can decode gestures generically without requiring personalized calibration, facilitating broad usability. The device is designed for ease of use, supporting both left- and right-handed users