emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
收藏DataCite Commons2026-02-23 更新2026-05-06 收录
下载链接：
https://nemar.org/dataexplorer/detail?dataset_id=nm000104&version=2.0.0
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资源简介：
emg2qwerty is a large-scale surface electromyography (sEMG) dataset comprising 1,135 sessions from 108 participants performing touch typing on a QWERTY keyboard. The dataset contains 5.26 million keystroke events recorded from wrist-mounted 32-channel sEMG devices, totaling 346.4 hours of data. Designed to enable keyboard-free text input through direct decoding of typing intent from neuromuscular activity, this dataset supports research in sequence-to-sequence learning, cross-user generalization, domain adaptation, and high-bandwidth brain-computer interfaces for AR/VR and accessibility applications.
提供机构：
NEMAR (Neuroelectromagnetic Data Archive and Tools Resource)
创建时间：
2026-02-23
