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The implementation of the lightweight DNN relies on the use of deep separable convolution and residual blocks. The combination of the convolution block attention module and the improved classification function can optimize the lightweight model. We use accuracy and confusion matrix to evaluate different models, ultimately achieving 71.5% and 99.5% accuracy on the Fer2013 and CK+ datasets respectively. The experimental results show that our model has good feature representation capabilities.<\/jats:p>","DOI":"10.3233\/jifs-212846","type":"journal-article","created":{"date-parts":[[2022,7,12]],"date-time":"2022-07-12T11:44:25Z","timestamp":1657626265000},"page":"5673-5683","source":"Crossref","is-referenced-by-count":10,"title":["DNN-CBAM: An enhanced DNN model for facial emotion recognition"],"prefix":"10.1177","volume":"43","author":[{"given":"Yun","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing Jiangsu Province, China"}]},{"given":"Xiangxiang","family":"Zou","sequence":"additional","affiliation":[{"name":"College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing Jiangsu Province, China"}]},{"given":"Shujuan","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing Jiangsu Province, China"}]},{"given":"Liya","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing Jiangsu Province, China"}]},{"given":"Weigang","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing Jiangsu Province, China"}]},{"given":"Shengmei","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing Jiangsu Province, China"}]},{"given":"Xiumei","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing Jiangsu Province, China"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-212846_ref1","doi-asserted-by":"crossref","unstructured":"Tian Y.L. , Kanade T. and Cohn J.F. , Facial expression analsis[M]\/\/Handbook of face recognition. 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