MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion Recognition
To explore human emotions, in this paper, we design and build a multi-modal physiological emotion database, which collects four modal physiological signals, i.e., electroencephalogram (EEG), galvanic skin response, respiration, and electrocardiogram (ECG). To alleviate the influence of culture depen...
Main Authors: | Tengfei Song, Wenming Zheng, Cheng Lu, Yuan Zong, Xilei Zhang, Zhen Cui |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8606087/ |
Similar Items
-
Emotional Aging: A Discrete Emotions Perspective
by: Ute eKunzmann, et al.
Published: (2014-05-01) -
Emotional Experience in the Mornings and the Evenings: Consideration of Age Differences in Specific Emotions by Time of Day
by: Tammy eEnglish, et al.
Published: (2014-03-01) -
Emotional face recognition and EEG measures
by: Walter Mahler, et al.
Published: (2007-04-01) -
Learning Hierarchical Emotion Context for Continuous Dimensional Emotion Recognition From Video Sequences
by: Qirong Mao, et al.
Published: (2019-01-01) -
Exploring Affective Priming Effect of Emotion-Label Words and Emotion-Laden Words: An Event-Related Potential Study
by: Chenggang Wu, et al.
Published: (2021-04-01)