Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals-Reference-Cited by-同舟云学术

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Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals

Published:2020-01 Issue: Volume:150 Page:107003
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Lu Yun,Wang Mingjiang,Wu Wanqing,Han Yufei,Zhang Qiquan,Chen Shixiong

Funder

Shenzhen Governmental Basic Research

National Natural Science Foundation of China

Guangdong Province Science and Technology Planning Project

Guangzhou Science and Technology Planning Project

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference47 articles.

1. Emotion socialization as a predictor of physiological and psychological responses to stress;Guo;Physiol. Behav.,2017

2. Wearable biosensor network enabled multimodal daily-life emotion recognition employing reputation-driven imbalanced fuzzy classification;Dai;Measurement,2017

3. Assessment of biofeedback training for emotion management through wearable textile physiological monitoring system;Wu;IEEE Sens. J.,2015

4. Quantitative assessment for self-tracking of acute stress based on triangulation principle in a wearable sensor system;Wu;IEEE J. Biomed. Health Inform.,2018

5. Wireless and wearable EEG system for evaluating driver vigilance;Lin;IEEE Trans. Biomed. Circuits Syst.,2014

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