Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal Study of Healthy Individuals
This longitudinal brain-machine interface study presents multimodal neurophysiological and kinematic data from seven healthy adults performing motor imagery tasks to control a lower-limb exoskeleton. The dataset comprises 60-channel EEG with EOG, dual inertial measurement units, and exoskeleton control signals collected across nine sessions per participant. Data include both open-loop calibration phases and closed-loop BMI control trials, providing a comprehensive resource for investigating neural correlates of motor imagery and human-machine interaction in ambulatory tasks.
- Participants
- 7
- Channels
- 60
- Size
- 2.98 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026