This file includes the raw dataset for the proof-of-concept experiments on the viability of using brain activity for evaluation of user preference in a movement augmented by a wearable exoskeleton. The experiment and the results are detailed in the following publication:

Mahmoudi, A., Khosrotabar, M., Gramann, K., Rinderknecht, S., & Sharbafi, M. A. (2025). Using passive BCI for personalization of assistive wearable devices: a proof-of-concept study. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

The dataset includes the participant data, EEG channel location map, and the raw EEG, encoder, PAM pressure and user preference signals. It also includes the processed EEG and encoder data and the independent component analysis results for all participants.