Loading…

A survey on EEG-based neurophysiological research for emotion recognition

Emotions play a significant part in a person's social connections, decision-making, and perception of the world. Elicited emotions cause a change in a person's physiological and psychological states. As Electroencephalography (EEG) facilitates a close study of brain activity, it is becomin...

Full description

Saved in:
Bibliographic Details
Published in:CCF transactions on pervasive computing and interaction (Online) 2023-09, Vol.5 (3), p.333-349
Main Authors: Badajena, Jenamani Chandrakanta, Sethi, Srinivas, Dash, Sanjit Kumar, Sahoo, Ramesh Kumar
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c270t-f2dc71d235b81d2beebb891d259c72708f828c4704ef9b61698165681f9d77a3
container_end_page 349
container_issue 3
container_start_page 333
container_title CCF transactions on pervasive computing and interaction (Online)
container_volume 5
creator Badajena, Jenamani Chandrakanta
Sethi, Srinivas
Dash, Sanjit Kumar
Sahoo, Ramesh Kumar
description Emotions play a significant part in a person's social connections, decision-making, and perception of the world. Elicited emotions cause a change in a person's physiological and psychological states. As Electroencephalography (EEG) facilitates a close study of brain activity, it is becoming a standard method among the research community for reliable recognition of human emotions. This work demonstrates various advancements in emotion recognition utilizing EEG signals and points out major changing trends by making a comparison of previously available research in this field. In addition to the survey a detailed explanation of the procedure for refining EEG for emotion recognition has been explained in this work. This aims to help researchers, especially beginners, have a thorough understanding of the developmental research in this field.
doi_str_mv 10.1007/s42486-023-00129-6
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2921363633</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2921363633</sourcerecordid><originalsourceid>FETCH-LOGICAL-c270t-f2dc71d235b81d2beebb891d259c72708f828c4704ef9b61698165681f9d77a3</originalsourceid><addsrcrecordid>eNp9kE9LAzEQxYMoWGq_gKeA52gyu5s_x1JqLRS89OAt7GZn2y3tpiZdod_e1C16kzm8B_PeDPwIeRT8WXCuXmIOuZaMQ8Y4F2CYvCEjKCBnBYC-_fXi455MYtxxzkEJnnYjspzS2IcvPFPf0fl8waoyYk077IM_bs-x9Xu_aV25pwEjlsFtaeMDxYM_takR0PlN1178A7lryn3EyVXHZP06X8_e2Op9sZxNV8yB4ifWQO2UqCErKp2kQqwqbZIrjFMpoRsN2uWK59iYSgpptJCF1KIxtVJlNiZPw9lj8J89xpPd-T506aMFAyKTabKUgiHlgo8xYGOPoT2U4WwFtxdodoBmEzT7A83KVMqGUkzhboPh7_Q_rW_rM26N</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2921363633</pqid></control><display><type>article</type><title>A survey on EEG-based neurophysiological research for emotion recognition</title><source>Springer Nature</source><creator>Badajena, Jenamani Chandrakanta ; Sethi, Srinivas ; Dash, Sanjit Kumar ; Sahoo, Ramesh Kumar</creator><creatorcontrib>Badajena, Jenamani Chandrakanta ; Sethi, Srinivas ; Dash, Sanjit Kumar ; Sahoo, Ramesh Kumar</creatorcontrib><description>Emotions play a significant part in a person's social connections, decision-making, and perception of the world. Elicited emotions cause a change in a person's physiological and psychological states. As Electroencephalography (EEG) facilitates a close study of brain activity, it is becoming a standard method among the research community for reliable recognition of human emotions. This work demonstrates various advancements in emotion recognition utilizing EEG signals and points out major changing trends by making a comparison of previously available research in this field. In addition to the survey a detailed explanation of the procedure for refining EEG for emotion recognition has been explained in this work. This aims to help researchers, especially beginners, have a thorough understanding of the developmental research in this field.</description><identifier>ISSN: 2524-521X</identifier><identifier>EISSN: 2524-5228</identifier><identifier>DOI: 10.1007/s42486-023-00129-6</identifier><language>eng</language><publisher>Singapore: Springer Nature Singapore</publisher><subject>Artificial intelligence ; Brain research ; Computer Science ; Electrodes ; Electroencephalography ; Emotion recognition ; Emotions ; Human-Centered Cooperative Computing ; Machine learning ; Physiology ; Survey Paper ; User Interfaces and Human Computer Interaction</subject><ispartof>CCF transactions on pervasive computing and interaction (Online), 2023-09, Vol.5 (3), p.333-349</ispartof><rights>China Computer Federation (CCF) 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-f2dc71d235b81d2beebb891d259c72708f828c4704ef9b61698165681f9d77a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Badajena, Jenamani Chandrakanta</creatorcontrib><creatorcontrib>Sethi, Srinivas</creatorcontrib><creatorcontrib>Dash, Sanjit Kumar</creatorcontrib><creatorcontrib>Sahoo, Ramesh Kumar</creatorcontrib><title>A survey on EEG-based neurophysiological research for emotion recognition</title><title>CCF transactions on pervasive computing and interaction (Online)</title><addtitle>CCF Trans. Pervasive Comp. Interact</addtitle><description>Emotions play a significant part in a person's social connections, decision-making, and perception of the world. Elicited emotions cause a change in a person's physiological and psychological states. As Electroencephalography (EEG) facilitates a close study of brain activity, it is becoming a standard method among the research community for reliable recognition of human emotions. This work demonstrates various advancements in emotion recognition utilizing EEG signals and points out major changing trends by making a comparison of previously available research in this field. In addition to the survey a detailed explanation of the procedure for refining EEG for emotion recognition has been explained in this work. This aims to help researchers, especially beginners, have a thorough understanding of the developmental research in this field.</description><subject>Artificial intelligence</subject><subject>Brain research</subject><subject>Computer Science</subject><subject>Electrodes</subject><subject>Electroencephalography</subject><subject>Emotion recognition</subject><subject>Emotions</subject><subject>Human-Centered Cooperative Computing</subject><subject>Machine learning</subject><subject>Physiology</subject><subject>Survey Paper</subject><subject>User Interfaces and Human Computer Interaction</subject><issn>2524-521X</issn><issn>2524-5228</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LAzEQxYMoWGq_gKeA52gyu5s_x1JqLRS89OAt7GZn2y3tpiZdod_e1C16kzm8B_PeDPwIeRT8WXCuXmIOuZaMQ8Y4F2CYvCEjKCBnBYC-_fXi455MYtxxzkEJnnYjspzS2IcvPFPf0fl8waoyYk077IM_bs-x9Xu_aV25pwEjlsFtaeMDxYM_takR0PlN1178A7lryn3EyVXHZP06X8_e2Op9sZxNV8yB4ifWQO2UqCErKp2kQqwqbZIrjFMpoRsN2uWK59iYSgpptJCF1KIxtVJlNiZPw9lj8J89xpPd-T506aMFAyKTabKUgiHlgo8xYGOPoT2U4WwFtxdodoBmEzT7A83KVMqGUkzhboPh7_Q_rW_rM26N</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Badajena, Jenamani Chandrakanta</creator><creator>Sethi, Srinivas</creator><creator>Dash, Sanjit Kumar</creator><creator>Sahoo, Ramesh Kumar</creator><general>Springer Nature Singapore</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20230901</creationdate><title>A survey on EEG-based neurophysiological research for emotion recognition</title><author>Badajena, Jenamani Chandrakanta ; Sethi, Srinivas ; Dash, Sanjit Kumar ; Sahoo, Ramesh Kumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-f2dc71d235b81d2beebb891d259c72708f828c4704ef9b61698165681f9d77a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Artificial intelligence</topic><topic>Brain research</topic><topic>Computer Science</topic><topic>Electrodes</topic><topic>Electroencephalography</topic><topic>Emotion recognition</topic><topic>Emotions</topic><topic>Human-Centered Cooperative Computing</topic><topic>Machine learning</topic><topic>Physiology</topic><topic>Survey Paper</topic><topic>User Interfaces and Human Computer Interaction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Badajena, Jenamani Chandrakanta</creatorcontrib><creatorcontrib>Sethi, Srinivas</creatorcontrib><creatorcontrib>Dash, Sanjit Kumar</creatorcontrib><creatorcontrib>Sahoo, Ramesh Kumar</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer science database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>CCF transactions on pervasive computing and interaction (Online)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Badajena, Jenamani Chandrakanta</au><au>Sethi, Srinivas</au><au>Dash, Sanjit Kumar</au><au>Sahoo, Ramesh Kumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A survey on EEG-based neurophysiological research for emotion recognition</atitle><jtitle>CCF transactions on pervasive computing and interaction (Online)</jtitle><stitle>CCF Trans. Pervasive Comp. Interact</stitle><date>2023-09-01</date><risdate>2023</risdate><volume>5</volume><issue>3</issue><spage>333</spage><epage>349</epage><pages>333-349</pages><issn>2524-521X</issn><eissn>2524-5228</eissn><abstract>Emotions play a significant part in a person's social connections, decision-making, and perception of the world. Elicited emotions cause a change in a person's physiological and psychological states. As Electroencephalography (EEG) facilitates a close study of brain activity, it is becoming a standard method among the research community for reliable recognition of human emotions. This work demonstrates various advancements in emotion recognition utilizing EEG signals and points out major changing trends by making a comparison of previously available research in this field. In addition to the survey a detailed explanation of the procedure for refining EEG for emotion recognition has been explained in this work. This aims to help researchers, especially beginners, have a thorough understanding of the developmental research in this field.</abstract><cop>Singapore</cop><pub>Springer Nature Singapore</pub><doi>10.1007/s42486-023-00129-6</doi><tpages>17</tpages></addata></record>
fulltext fulltext
identifier ISSN: 2524-521X
ispartof CCF transactions on pervasive computing and interaction (Online), 2023-09, Vol.5 (3), p.333-349
issn 2524-521X
2524-5228
language eng
recordid cdi_proquest_journals_2921363633
source Springer Nature
subjects Artificial intelligence
Brain research
Computer Science
Electrodes
Electroencephalography
Emotion recognition
Emotions
Human-Centered Cooperative Computing
Machine learning
Physiology
Survey Paper
User Interfaces and Human Computer Interaction
title A survey on EEG-based neurophysiological research for emotion recognition
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T06%3A04%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20survey%20on%20EEG-based%20neurophysiological%20research%20for%20emotion%20recognition&rft.jtitle=CCF%20transactions%20on%20pervasive%20computing%20and%20interaction%20(Online)&rft.au=Badajena,%20Jenamani%20Chandrakanta&rft.date=2023-09-01&rft.volume=5&rft.issue=3&rft.spage=333&rft.epage=349&rft.pages=333-349&rft.issn=2524-521X&rft.eissn=2524-5228&rft_id=info:doi/10.1007/s42486-023-00129-6&rft_dat=%3Cproquest_cross%3E2921363633%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c270t-f2dc71d235b81d2beebb891d259c72708f828c4704ef9b61698165681f9d77a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2921363633&rft_id=info:pmid/&rfr_iscdi=true