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Facial emotion recognition (FER) is an important subject matter in the fields of artificial intelligence (AI) since it exhibits a greater commercial potential. This technique is used to analyse various sentiments and reveal a person\u2019s behavior. It could be related to the mental or physiological state of mind. This paper mainly focuses on a human emotion recognition system through a detected human face. Its accuracy was improved via different data augmentation tools, early stopping, and generative adversarial networks (GANs). Compared to previous methods, experimental results show that the proposed method provides a 0.55% to 35.7% gain performance.<\/jats:p>","DOI":"10.1155\/2023\/9351345","type":"journal-article","created":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T23:05:17Z","timestamp":1694819117000},"page":"1-11","source":"Crossref","is-referenced-by-count":9,"title":["Designing an Efficient System for Emotion Recognition Using CNN"],"prefix":"10.1155","volume":"2023","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7257-4092","authenticated-orcid":true,"given":"Donia","family":"Ammous","sequence":"first","affiliation":[{"name":"National School of Engineers of Sfax, University of Sfax, Laboratory of Electronics and Information Technologies, Circuit and System Team \u201cC&S\u201d, LR99ES37, 3038 Sfax, Tunisia"},{"name":"Sogimel: A Consulting Company in Computer Engineering and Video Surveillance, Sfax Technopole, 3021 Sakiet Ezzit, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Achraf","family":"Chabbouh","sequence":"additional","affiliation":[{"name":"Higher Institute of Technological Studies of Sidi Bouzid, Sidi Bouzid, Tunisia"},{"name":"Anavid France, 10 Road Penthi\u00e8vre, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Awatef","family":"Edhib","sequence":"additional","affiliation":[{"name":"Sogimel: A Consulting Company in Computer Engineering and Video Surveillance, Sfax Technopole, 3021 Sakiet Ezzit, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed","family":"Chaari","sequence":"additional","affiliation":[{"name":"Anavid France, 10 Road Penthi\u00e8vre, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fahmi","family":"Kammoun","sequence":"additional","affiliation":[{"name":"National School of Engineers of Sfax, University of Sfax, Laboratory of Electronics and Information Technologies, Circuit and System Team \u201cC&S\u201d, LR99ES37, 3038 Sfax, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nouri","family":"Masmoudi","sequence":"additional","affiliation":[{"name":"National School of Engineers of Sfax, University of Sfax, Laboratory of Electronics and Information Technologies, Circuit and System Team \u201cC&S\u201d, LR99ES37, 3038 Sfax, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1504\/ijics.2021.112209"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107332"},{"key":"3","first-page":"70","article-title":"Facial expression classification based on SVM, KNN and MLP classifiers","author":"H. 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