sEMG腕带

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Meta发布“意念操控”腕带,研究登Nature,要抢马斯克生意?
3 6 Ke· 2025-07-26 02:15
Core Insights - Meta's Reality Labs has introduced a non-invasive neuromotor interface for human-computer interaction, utilizing surface electromyography (sEMG) technology [1][3][16] - The interface, designed as a wristband, captures neural signals from the wrist to recognize various gestures without the need for invasive procedures [1][3] Hardware Development - The research team developed a high-sensitivity, easy-to-wear sEMG wristband (sEMG-RD) with a sampling rate of 2kHz and a noise level of 2.46μVrms, featuring a battery life of over 4 hours [4][6] - The wristband is designed to accommodate different wrist sizes and can accurately capture electrical signals from muscles in the wrist, hand, and forearm [4][6] Model Training and Data Collection - The team built a scalable data collection infrastructure, gathering training data from thousands of participants to develop a universal sEMG decoding model [6][12] - Advanced deep learning architectures were employed, including LSTM layers and Conformer architecture, to enhance the model's adaptability to various interaction scenarios [6][12] Performance Metrics - The sEMG interface achieved a median performance of 0.66 gestures per second during continuous navigation tasks, significantly improving operational efficiency [7][9] - In discrete gesture tasks, the detection rate reached 0.88 gestures per second, with handwriting input speeds of 20.9 words per minute [9][12] Application Potential - The technology has broad applications in daily interactions with mobile devices, allowing for seamless input without reliance on traditional methods [13][14] - It offers new interaction methods for individuals with mobility impairments, enabling them to control devices through subtle muscle movements [13][14] Future Prospects - The interface could be utilized in clinical diagnostics and rehabilitation, providing insights into muscle activity and aiding in personalized recovery plans [14][15] - It may redefine human-computer interaction paradigms, potentially becoming a standard for general electronic devices [16][17]