Core Insights - A new wearable device developed by researchers allows users to interact with computers through hand gestures, converting muscle signals into computer commands without the need for personalized calibration or invasive procedures [1][3] Group 1: Technology Development - The device, a wrist-worn band, utilizes high-sensitivity sensors to detect electrical signals from wrist muscles and translate them into computer signals [3] - A generic decoding model was created using deep learning, which can accurately interpret user inputs without individual calibration, demonstrating performance improvements with increased model size and data [3][4] - The device can communicate with computers via Bluetooth, enabling real-time gesture recognition for various computer interactions, including virtual navigation and text input at a rate of 20.9 words per minute [3] Group 2: Accessibility and Applications - The neural motion interface offers a communication method for individuals with diverse physical abilities, potentially benefiting those with mobility impairments, muscle weakness, amputations, or paralysis [4] - The research team has released a database containing over 100 hours of surface electromyography (sEMG) recordings from 300 subjects, aimed at facilitating further research on the accessibility of this technology [4]
助力人机交互更丝滑!国际最新研发手环能将手势转换成计算机指令