FRL Handwriting: Handwriting Decoding from 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=nm000106&version=2.0.0
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资源简介：
This dataset comprises wrist-based surface electromyography (sEMG) recordings from 100 participants performing imagined handwriting tasks. Participants wrote prompted text in air without a physical writing surface, using a 16-channel sEMG wristband sampled at 2000 Hz. The dataset includes approximately 700 sessions (~7 per participant) and serves as a benchmark for developing non-invasive neuromotor interfaces for text entry applications in augmented/virtual reality and mobile computing contexts.
提供机构：
NEMAR (Neuroelectromagnetic Data Archive and Tools Resource)
创建时间：
2026-02-23
