A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding
Abstract EEG-based emotion decoding is essential for unveiling neural mechanisms of emotion and has applications in mental health and human-machine interaction. However, existing datasets for EEG-based emotion decoding are limited to a single context of emotion elicitation. The ability of emotion de...
Saved in:
| Main Authors: | Xin Xu, Xinke Shen, Xuyang Chen, Qingzhu Zhang, Sitian Wang, Yihan Li, Zongsheng Li, Dan Zhang, Mingming Zhang, Quanying Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05349-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Vocal Emotion Perception and Musicality—Insights from EEG Decoding
by: Johannes M. Lehnen, et al.
Published: (2025-03-01) -
EEG-Based Emotion Recognition Datasets for Virtual Environments: A Survey
by: Hussein Ali Hamzah, et al.
Published: (2024-01-01) -
Emotional Interactive Simulation System of English Speech Recognition in Virtual Context
by: Dan Li
Published: (2020-01-01) -
The role of maternal sensitivity, infant temperament, and emotional context in the development of emotion regulation
by: Laura Bozicevic, et al.
Published: (2025-05-01) -
Domain adaptive deep possibilistic clustering for EEG-based emotion recognition
by: Yufang Dan, et al.
Published: (2025-07-01)