"self-collected VR-MI dataset"
收藏DataCite Commons2025-10-08 更新2026-05-03 收录
下载链接：
https://ieee-dataport.org/documents/self-collected-vr-mi-dataset
下载链接
链接失效反馈官方服务：
资源简介：
"The VR-MI (Virtual Reality\u2013based Motor Imagery) dataset is a self-collected EEG dataset designed to explore motor imagery decoding under immersive virtual environments. It contains EEG recordings from 20 right-handed participants performing left- and right-hand motor imagery tasks in VR scenarios using a 32-channel Emotiv Flex 2.0 device at a sampling rate of 256 Hz. Each subject completed 200 trials per condition, with all signals band-limited to 0.5\u201370 Hz and stored in EDF format. The VR-MI dataset provides a valuable benchmark for studying spatio-temporal feature representation, cross-subject generalization, and robustness in EEG-based brain\u2013computer interface research."
提供机构：
IEEE DataPort
创建时间：
2025-10-08
