{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:29:10Z","timestamp":1775838550698,"version":"3.50.1"},"reference-count":68,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,2,7]]},"DOI":"10.23919\/icact51234.2021.9370369","type":"proceedings-article","created":{"date-parts":[[2021,3,10]],"date-time":"2021-03-10T16:59:49Z","timestamp":1615395589000},"page":"359-367","source":"Crossref","is-referenced-by-count":14,"title":["Facial Expression Recognition: A Survey and its Applications"],"prefix":"10.23919","author":[{"given":"Vu-Tuan","family":"Dang","sequence":"first","affiliation":[]},{"given":"Hong-Quan","family":"Do","sequence":"additional","affiliation":[]},{"given":"Viet-Vu","family":"Vu","sequence":"additional","affiliation":[]},{"given":"Byeongnam","family":"Yoon","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"1","article-title":"Going deeper in facial expression recognition using deep neuralnetworks","author":"mollahosseini","year":"2016","journal-title":"Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV)"},{"key":"ref38","author":"ouellet","year":"2014","journal-title":"Real-time emotion recognition for gaming using deep convolutional network features"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.1007\/s11042-016-4324-z","article-title":"Reliable facial expression recognition for multi-scale images using weber local binary image based cosine transform features","volume":"77","author":"s a","year":"2018","journal-title":"Multimed Tools Appl"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2018.01.003"},{"key":"ref31","first-page":"869","article-title":"Local Invariant Feature-Based Gender Recognition from Facial Images","author":"v k","year":"2019","journal-title":"Soft Computing for Problem Solving"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2019.01.005"},{"key":"ref37","first-page":"453","article-title":"Automatic Facial Expression Recognition Using DCNN","author":"al","year":"0","journal-title":"Procedia Computer Science93"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICICoS48119.2019.8982443"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-173781"},{"key":"ref62","first-page":"1","article-title":"A survey on facial recognition based on local directional and local binary patterns","author":"k","year":"0","journal-title":"2018 Conference on Information Communications Technology and Society (ICTAS)"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1998.698604"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00231"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/34.908962"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.3390\/sym11101189"},{"key":"ref27","first-page":"312","article-title":"Dynamic Facial Expression Recognition Using Boosted Component-Based Spatiotemporal Features and Multi-Classifier Fusion","author":"x","year":"2010","journal-title":"Proceedings of Advanced Concepts for Intelligent Vision Systems"},{"key":"ref65","article-title":"Facial expression recognition based on local binary patterns:A comprehensive study","volume":"27","author":"al","year":"2009","journal-title":"Image and Vision Computing"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/34.598228"},{"key":"ref29","first-page":"129","article-title":"GCV-Based Regularized Extreme Learning Machine for Facial Expression Recognition","author":"s","year":"2018","journal-title":"Data science and machine learning"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1145\/2818346.2830595"},{"key":"ref68","first-page":"48","article-title":"Fusing Aligned and Non-Aligned Face Information for Automatic Affect Recognition inthe Wild: A Deep Learning Approach","author":"kim","year":"0","journal-title":"IEEE Conf Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1037\/h0030377","article-title":"Constants across Cultures in the Face and Emotion","volume":"17","author":"paul","year":"1971","journal-title":"J Pers Psycho WV"},{"key":"ref1","first-page":"53","article-title":"Communication without Words","volume":"2","author":"a","year":"1968","journal-title":"Psychology Today"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-017-2634-3"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.4.000519"},{"key":"ref21","first-page":"429","article-title":"Theory of communication","volume":"93","author":"gabor","year":"1946","journal-title":"Journal of the Institute of Electrical Engineers"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1162\/jocn.1991.3.1.71"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2015.07.073"},{"key":"ref26","first-page":"200","article-title":"Coding Facial Expressions with Gabor Wavelets","author":"l m","year":"1998","journal-title":"Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-2107-7_19"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.08.043"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2917266"},{"key":"ref59","author":"pramerdorfer","year":"2016","journal-title":"Facial Expression Recognition using Convolutional Neural Networks State of the Art"},{"key":"ref58","first-page":"770","article-title":"Deep residual learning forimage recognition","author":"he","year":"0","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref57","first-page":"1","article-title":"Deep neural networks with relativity learning for facial expression recognition","author":"guo","year":"0","journal-title":"Multimedia & Expo Workshops (ICMEW) 2016 IEEE International Conference on"},{"key":"ref56","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2018.091195"},{"key":"ref54","author":"breuer","year":"2017","journal-title":"A deep learning perspective on the origin of facial expressions"},{"key":"ref53","first-page":"575","article-title":"Facial Expression Recognition Using Gabor-Mean-DWT Feature ExtractionTechnique","author":"mattela","year":"2018","journal-title":"Proceedings of the 5th International Conference on Signal Processing and Integrated Networks(SPIN)"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2019.0293"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-42051-1_16"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.99"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"ref13","first-page":"1","article-title":"Evaluating AAM Fitting Methods for Facial Expression Recognition","author":"a","year":"0","journal-title":"Proceedings of the International Conference on Affective Computing and Intelligent Interaction Amsterdam The Netherlands"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"1313","DOI":"10.1016\/j.imavis.2008.11.010","article-title":"Real-time facial expression recognition using STAAM and layered GDA classifiers","volume":"27","author":"s j","year":"2009","journal-title":"Image Vision Comput"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICAPR.2015.7050661"},{"key":"ref16","article-title":"A Feature Point Tracking Method Based on The Combination of SIFT Algorithm and KLT Matching Algorithm","volume":"7","author":"liu","year":"2011","journal-title":"Astron J"},{"key":"ref17","author":"al","year":"2016","journal-title":"Sention A framework for sensing facial expressions"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2197\/ipsjtcva.7.104"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1049\/cp.2015.1766"},{"key":"ref4","author":"dataset","year":"0","journal-title":"Japanese Female FacialExpression Database"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1098\/rstb.1992.0008","article-title":"Facial expressions of emotion: An old controversy and new findings","volume":"335","author":"ekman","year":"1992","journal-title":"Philos T Roy Soc B"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2366127"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(02)00052-3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-69096-4_48"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.2981446"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICET.2017.8281753"},{"key":"ref9","author":"pramerdorfer","year":"2016","journal-title":"Facial Expression Recognition using Convolutional Neural Networks State of the Art"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995710"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-804536-7.00003-X"},{"key":"ref48","first-page":"1805","article-title":"Facial Expression Recognition via a Boosted Deep Belief Network","author":"al","year":"0","journal-title":"Proceedings of the 2014 IEEE Conference on Computer Vision and PatternRecognition"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33783-3_58"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/DASC-PICom-DataCom-CyberSciTec.2017.213"},{"key":"ref41","article-title":"Face Expression Recognition with a 2-Channel Convolutional Neural Network","author":"al","year":"0","journal-title":"International Joint Conference on Neural Networks (IJCNN)"},{"key":"ref44","first-page":"282","article-title":"Learning and releaming in boltzmann machines","volume":"1","author":"hinton","year":"1986","journal-title":"Parallel Distributed Processing Explorations in the Microstructure of Cognition"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"}],"event":{"name":"2021 23rd International Conference on Advanced Communication Technology (ICACT)","location":"PyeongChang, Korea (South)","start":{"date-parts":[[2021,2,7]]},"end":{"date-parts":[[2021,2,10]]}},"container-title":["2021 23rd International Conference on Advanced Communication Technology (ICACT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9370342\/9370365\/09370369.pdf?arnumber=9370369","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,11]],"date-time":"2021-05-11T17:23:41Z","timestamp":1620753821000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9370369\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,7]]},"references-count":68,"URL":"https:\/\/doi.org\/10.23919\/icact51234.2021.9370369","relation":{},"subject":[],"published":{"date-parts":[[2021,2,7]]}}}