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The first reason is the nonexistence of a large database of training images, and the second one is about classifying the emotions, which can be complex based on the static input image. In addition, robust unbiased FER in real time remains the foremost challenge for various supervised learning-based techniques. This survey analyzes diverse techniques regarding the FER systems. It reviews a bunch of research papers and performs a significant analysis. Initially, the analysis depicts various techniques that are contributed in different research papers. In addition, this paper offers a comprehensive study regarding the chronological review and performance achievements in each contribution. The analytical review is also concerned about the measures for which the maximum performance was achieved in several contributions. Finally, the survey is extended with various research issues and gaps that can be useful for the researchers to promote improved future works on the FER models. <\/jats:p>","DOI":"10.1142\/s0219467823500080","type":"journal-article","created":{"date-parts":[[2021,12,25]],"date-time":"2021-12-25T11:21:23Z","timestamp":1640431283000},"source":"Crossref","is-referenced-by-count":4,"title":["A Descriptive Survey on Face Emotion Recognition Techniques"],"prefix":"10.1142","volume":"23","author":[{"given":"Bhagyashri","family":"Devi","sequence":"first","affiliation":[{"name":"Department of ECE, Noorul Islam Centre for Higher Education, Tamil Nadu, India"}]},{"given":"M. Mary Synthuja Jain","family":"Preetha","sequence":"additional","affiliation":[{"name":"Department of ECE, Noorul Islam Centre for Higher Education, Tamil Nadu, India"}]}],"member":"219","published-online":{"date-parts":[[2021,12,24]]},"reference":[{"key":"S0219467823500080BIB001","doi-asserted-by":"crossref","first-page":"18795","DOI":"10.1109\/ACCESS.2018.2816044","volume":"6","author":"Qi C.","year":"2018","journal-title":"IEEE Access"},{"key":"S0219467823500080BIB002","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2726010"},{"key":"S0219467823500080BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.04.010"},{"issue":"6","key":"S0219467823500080BIB004","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1007\/s40009-018-0694-2","volume":"41","author":"Arora M.","year":"2018","journal-title":"Natl. Acad. Sci. 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