SOURCE RECORD / S0191
EEG-based brain-computer interface enables real-time robotic hand control at individual finger level
EEG-based brain-computer interface enables real-time robotic hand control at individual finger level
- Authors or organization
- Ding Y, Udompanyawit C, Zhang Y, He B
- Published date
- 2025-06-30
- Source type
- peer_reviewed_human_study
- Technology route
- non-invasive 128-channel EEG motor imagery
- Function or setting
- robotic device control
- Rights status
- mirror_allowed / CC BY 4.0
Evidence summary
Evidence: Real-time non-invasive finger-level robotic control feasibility. Key figures: 80.56% two-finger MI; 60.61% three-finger MI after one online session and same-session fine-tuning. Limitations: Healthy experienced users; two rounds of responder screening; subject-specific and same-day fine-tuning; task uses class decisions rather than independent simultaneous multi-finger trajectories.
Key figures
80.56% two-finger MI; 60.61% three-finger MI after one online session and same-session fine-tuning
Limitations
Healthy experienced users; two rounds of responder screening; subject-specific and same-day fine-tuning; task uses class decisions rather than independent simultaneous multi-finger trajectories