Ear-EEG motor execution dataset from Wu et al 2020

This dataset comprises ear-EEG recordings from 6 healthy participants performing motor execution tasks (fist clenching) with simultaneous scalp and ear-based EEG acquisition. The study employed a two-class motor imagery paradigm with visual and auditory cues, recording 1,114 trials across left-hand and right-hand movement conditions at 1000 Hz sampling rate using 122 scalp channels. The dataset serves as a benchmark for investigating in-ear EEG sensing capabilities for motor task classification in brain-computer interface applications.