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This dataset comprises EEG recordings from 19 participants performing a cyber-physical systems task involving prediction error processing with multimodal sensory stimulation. Participants received visual, vibrotactile, and electrical muscle stimulation (EMS) across three experimental blocks while their brain activity was recorded using a 63-channel high-density EEG system. The study investigates neural responses to prediction errors in a haptic interaction task with varying levels of sensory realism.

Participants

19

Size

11.3 GB

Version

v1.0.0

Updated

Jun 22, 2026

## **EEG-Controlled Exoskeleton for Walking and Standing – A Longitudinal Motor Imagery Study in Healthy Adults** ### **Dataset Overview** This dataset comprises multimodal recordings from a brain–machine interface (BMI) training study involving seven healthy adult participants (ages 20–30 years; mean = 24.3, SD = 3.8). The study investigated both open-loop and closed-loop control of a lower-limb exoskeleton (Rex Bionics). The dataset includes 60-channel EEG, 4-channel EOG, motion data from two

Participants

7

Size

3.62 GB

Updated

Jun 22, 2026

EEG-Controlled Exoskeleton for Walking and Standing A Longitudinal Motor Imagery Study in Healthy Adults Dataset Overview This dataset contains multimodal recordings from a brain–machine interface (BMI) training study involving seven healthy adult participants (ages 20–30, Mean = 24.3, SD = 3.8). The study focused on open-loop and closed-loop control of a lower-limb exoskeleton (Rex Bionics) using EEG and inertial sensor data. Each participant completed nine sessions over several weeks, structu

Participants

7

Size

3.62 GB

Updated

Jun 2, 2026