SENSE-42: A multimodal human-computer interaction dataset for neurocognitive user state evaluation

The dataset includes multimodal signals across the following channels: Behavioural Data Participant interaction logs collected via PsychoPy, including task performance metrics, reaction times, and mouse & keyboard status per frame. Electroencephalography (EEG) 32-channel scalp EEG recordings collected with the BioSemi ActiveTwo system at 1024 Hz. EEG signals are stored in .bdf format. We further shared the cleaned EEG files in .set format compatible with EEGLab in this repository. Electrocardiography (ECG) 3-lead ECG signals extracted from the external channels of the EEG system. Electrode placement follows a modified lead configuration (see diagram in the GitHub repository). Respiration Data Respiratory cycles captured using a thoracic breathing belt, collected with BioSemi ActiveTwo system, processed with RespInPeace and stored as .wav files at 32 Hz. Webcam Recordings High-resolution facial video recordings were obtained for facial expression and pupilometry analysis. All participants agreed to share their data for authorised research use.