MUniverse Caillet et al 2023
…We fixed the foot of the dominant leg (right in all participants…
- Participants
- 6
- Size
- 448 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
100 results for "foot movement" · page 2 of 10 · ranked by relevance
…We fixed the foot of the dominant leg (right in all participants…
This mobile brain body imaging (MoBI) dataset comprises EEG recordings from 18 subjects performing a gait adaptation task on a treadmill. Participants were instructed to synchronize their stepping with an auditory pacing stimulus and adapt their gait parameters (step length and rate) in response to tempo shifts. The dataset provides multimodal neurophysiological data during dynamic motor behavior, enabling investigation of neural mechanisms underlying auditory-motor coupling and gait adaptation.
…The foot of the dominant leg (right in all participants) was fixed…
This dataset contains multimodal brain–machine interface (BMI) recordings from seven healthy adults who trained over nine longitudinal sessions to control a lower-limb exoskeleton via motor imagery. It includes 60-channel EEG, 4-channel EOG, dual IMU motion data, and exoskeleton control/feedback signals collected during open-loop calibration and closed-loop walk/stop trials. The dataset supports research on EEG-based decoding of motor imagery for neurorehabilitation and human-robot interaction applications.
…sustained right hand movement imagery (palmar grip) versus both feet movement imagery…
Imported from OpenNeuro ds003801
…Subjects perform 20 imagined movements per class (right hand, feet, rest) following…
…Two-class motor imagery (selected from left hand, right hand, and foot…
…presentation └─ Agent-action └─ Imagine, Move, Foot rest ├─ Sensory-event ├─ Experimental-stimulus ├─ Visual…
This mobile brain-body imaging (MoBI) study investigates electrocortical correlates of locomotor adaptation during split-belt treadmill walking. Thirty participants performed both abrupt and gradual split-belt walking protocols with a 2:1 belt speed ratio while mobile EEG was recorded. The dataset provides insights into neural mechanisms underlying gait adaptation and motor learning in dynamic walking conditions.