At MIT, a new way to map the movement of our hands
MIT researchers have developed an ultrasound wristband that tracks hand movements using AI to decode signals, potentially improving prosthetics and virtual reality. The technology can detect 22 degrees of freedom in hand movement and has various medical applications.
Researchers at MIT's Zhao Lab have created an ultrasound wristband that tracks hand movements in real-time. The device uses AI to decode signals from muscles and tendons, allowing for precise detection of joint movements. The technology can detect 22 degrees of freedom and has potential applications in prosthetics, virtual reality, and medical recovery tracking. The team trained the AI using a motion capture system with physical markers on a hand. Currently, the dataset is based on 10 hands and needs to be expanded to around 100 hands to be applicable to any user. The technology is non-invasive and could improve patient care by allowing clinicians to track muscle and joint movement during recovery.
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