PerceiveImagine
[
- Size
- 4.23 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "emotion decoding" · page 8 of 10 · ranked by relevance
[ is a multimodal neuroimaging dataset comprising eye-tracking recordings from 27 subjects across two sessions during educational video viewing. Subjects watched five informative videos under two conditions: an attentive condition with post-video comprehension testing, and a distracted condition with concurrent cognitive load (backward counting). The dataset includes gaze coordinates, pupil size, blinks, saccades, and fixations, along with behavioral questionnaires assessing domain knowledge and memory retention, providing a resource for studying attention, learning, and cognitive engagement during multimedia presentation.
[ systems for motor control applications.
This open-access EEG dataset comprises multi-session, multi-task recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface research and mental workload estimation in neuroergonomic applications.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004521-blue…
…transfer learning for motor imagery decoding. The dataset contains 32-channel EEG…