A CNN-based Approach for three-class classification of motor imagery EEG data including 'rest state' in hybrid multi-user BCI.
Jianhai ZhangChongwei SuDariusz ZapalaLi ZhuGaochao CuiWanzeng KongPublished in: BIBM (2019)
Keyphrases
- motor imagery
- multi user
- eeg data
- brain computer interface
- eeg signals
- virtual environment
- online training
- independent component analysis
- virtual world
- augmented reality
- single trial
- single user
- spectral features
- blind source separation
- spinal cord injury
- multiple users
- user interface
- signal processing
- healthy subjects
- virtual reality