Meta’s Wristband Reads Your Arm to Type, Scroll, Swipe Without Touch
Meta introduces a smart wristband that uses muscle signals to control devices. Navigate apps, type, or scroll without touching a screen or keyboard.
image for illustrative purpose
Meta has unveiled an experimental wristband that uses muscle signals and hand gestures to control computers, marking a shift away from traditional input devices.
The band relies on electromyography, or EMG, to detect electrical impulses in the forearm. Signals generated when muscles move or when users imagine moving are captured through sensors on the skin. These signals are then translated into commands for software navigation, text input and media control.
Meta engineers trained their machine learning model on data from more than 10,000 individuals. The model identifies user intent from muscle activity patterns, even on first use. Simple gestures, such as pinching the thumb and forefinger, can trigger actions like pausing audio or launching applications.
Meta is collaborating with Carnegie Mellon University researchers to test the device with individuals who have limited hand mobility. In cases of paralysis, residual muscle activity beneath the skin offers control signals. The wristband’s noninvasive design and real-time performance present an alternative to surgical brain implants and EEG headsets.
At a recent demonstration, Meta paired the wristband with prototype smart glasses. Users navigated menus, composed messages in midair and scrolled through social media feeds without touching physical controls.
Meta executives say the wristband reflects the company’s broader strategy for augmented reality and wearable technology. The device could integrate with future AR glasses and headsets, offering hands-free interaction for all users.
Meta plans further refinements before releasing a developer kit. Company officials declined to set a launch date but indicated that commercial versions may follow early trials.
