Emotion recognition using effective connectivity and pre-trained convolutional neural networks in EEG signals
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience
Link
https://link.springer.com/content/pdf/10.1007/s11571-021-09756-0.pdf
Reference68 articles.
1. Acharya UR, Oh SL, Hagiwara Y, Tan JH, Adeli H (2018) Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals. Comput Biol Med 100:270–278
2. Afshani F, Shalbaf A, Shalbaf R, Sleigh J (2019) Frontal–temporal functional connectivity of EEG signal by standardized permutation mutual information during anesthesia. Cogn Neurodyn 13(6):531–540
3. Akar SA, Kara S, Agambayev S, Bilgiç V (2015) Nonlinear analysis of EEGs of patients with major depression during different emotional states. Comput Biol Med 67:49–60
4. Alarcao SM, Fonseca MJ (2017) Emotions recognition using EEG signals: a survey. IEEE Trans Affect Comput 10(3):374–393
5. Allen JJ, Keune PM, Schönenberg M, Nusslock R (2018) Frontal EEG alpha asymmetry and emotion: From neural underpinnings and methodological considerations to psychopathology and social cognition. Psychophysiology 55(1):e13028
Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Efficient Decoding of Affective States from Video-elicited EEG Signals: An Empirical Investigation;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-09-12
2. Multimodal insights into granger causality connectivity: Integrating physiological signals and gated eye-tracking data for emotion recognition using convolutional neural network;Heliyon;2024-08
3. Exploring the frontier: Transformer-based models in EEG signal analysis for brain-computer interfaces;Computers in Biology and Medicine;2024-08
4. Classification of mental workload with EEG analysis by using effective connectivity and a hybrid model of CNN and LSTM;Computer Methods in Biomechanics and Biomedical Engineering;2024-07-31
5. An EEG-based framework of EMD and CNN for arousal and valence recognition;Research on Biomedical Engineering;2024-06
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3