{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T04:20:45Z","timestamp":1778905245626,"version":"3.51.4"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,5,16]],"date-time":"2023-05-16T00:00:00Z","timestamp":1684195200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,5,16]],"date-time":"2023-05-16T00:00:00Z","timestamp":1684195200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Evolving Systems"],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1007\/s12530-023-09506-z","type":"journal-article","created":{"date-parts":[[2023,5,16]],"date-time":"2023-05-16T07:02:20Z","timestamp":1684220540000},"page":"641-658","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":71,"title":["Facial emotion recognition and music recommendation system using CNN-based deep learning techniques"],"prefix":"10.1007","volume":"15","author":[{"given":"Brijesh","family":"Bakariya","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arshdeep","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harmanpreet","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pankaj","family":"Raju","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rohit","family":"Rajpoot","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7566-0703","authenticated-orcid":false,"given":"Krishna Kumar","family":"Mohbey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,5,16]]},"reference":[{"key":"9506_CR1","doi-asserted-by":"crossref","unstructured":"Adeyanju IA, Omidiora EO, Oyedokun OF (2015) Performance evaluation of different support vector machine kernels for face emotion recognition. In: SAI Intelligent Systems Conference (IntelliSys), IEEE, 10\u201311 November 2015, London, UK","DOI":"10.1109\/IntelliSys.2015.7361233"},{"issue":"6","key":"9506_CR2","first-page":"424","volume":"8","author":"QT Ain","year":"2017","unstructured":"Ain QT et al (2017) Sentiment analysis using deep learning techniques: a review. Int J Adv Comput Sci Appl 8(6):424","journal-title":"Int J Adv Comput Sci Appl"},{"key":"9506_CR3","unstructured":"Alfaisal A and Aljanada R (2018) Universal emotions. Int J Human Soc Stud 6(12):141\u2013146"},{"issue":"2","key":"9506_CR4","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1080\/02564602.2014.1000396","volume":"32","author":"B Bakariya","year":"2015","unstructured":"Bakariya B, Thakur GS (2015) An efficient algorithm for extracting high utility item sets from weblog data. IETE Tech Rev 32(2):151\u2013160","journal-title":"IETE Tech Rev"},{"key":"9506_CR5","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-200643","author":"NK Benamara","year":"2021","unstructured":"Benamara NK et al (2021) Real-time facial expression recognition using smoothed deep neural network ensemble. Integrat Comput-Aided Eng. https:\/\/doi.org\/10.3233\/ICA-200643","journal-title":"Integrat Comput-Aided Eng"},{"key":"9506_CR6","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.patrec.2022.06.004","volume":"160","author":"A Boragule","year":"2022","unstructured":"Boragule A, Akram H, Kim J, Jeon M (2022) Learning to resolve uncertainties for large-scale face recognition. Pattern Recogn Lett 160:58\u201365","journal-title":"Pattern Recogn Lett"},{"key":"9506_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.103688","volume":"77","author":"F Chen","year":"2022","unstructured":"Chen F, Yang C, Khishe M (2022) Diagnose Parkinson\u2019s disease and cleft lip and palate using deep convolutional neural networks evolved by IP-based chimp optimization algorithm. Biomed Signal Process Control 77:103688","journal-title":"Biomed Signal Process Control"},{"key":"9506_CR8","doi-asserted-by":"publisher","first-page":"165806","DOI":"10.1109\/ACCESS.2021.3131733","volume":"9","author":"C Dalvi","year":"2021","unstructured":"Dalvi C, Rathod M, Patil S, Gite S, Kotecha K (2021) A survey of AI-based facial emotion recognition: features, ML & DL techniques, age-wise datasets and future directions. IEEE Access 9:165806\u2013165840","journal-title":"IEEE Access"},{"key":"9506_CR9","unstructured":"FER 2013 Dataset Download https:\/\/www.kaggle.com\/datasets\/msambare\/fer2013"},{"key":"9506_CR10","doi-asserted-by":"publisher","first-page":"89876","DOI":"10.1109\/ACCESS.2022.3200762","volume":"10","author":"S Dwijayanti","year":"2022","unstructured":"Dwijayanti S, Iqbal M, Suprapto BY (2022) Real-time implementation of face recognition and emotion recognition in a humanoid robot using a convolutional neural network. IEEE Access 10:89876\u201389886","journal-title":"IEEE Access"},{"issue":"1","key":"9506_CR11","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/S0031-3203(02)00052-3","volume":"36","author":"B Fasel","year":"2003","unstructured":"Fasel B, Luettin J (2003) Automatic facial expression analysis: a survey. Pattern Recogn 36(1):259\u2013275","journal-title":"Pattern Recogn"},{"key":"9506_CR12","unstructured":"Gong W and Huang H (2021) Bayesian convolutional neural networks for seven basic facial expression classifications. arXiv preprint arXiv:2107.04834"},{"key":"9506_CR44","doi-asserted-by":"crossref","unstructured":"Goodfellow IJ, Erhan D, Carrier PL, Courville A, Mirza M, Hamner B, Bengio Y (2013) Challenges in representation learning: A report on three machine learning contests. In Neural Information Processing: 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part III 20 (pp. 117\u2013124). Springer berlin heidelberg.","DOI":"10.1007\/978-3-642-42051-1_16"},{"issue":"6","key":"9506_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-021-0569-4","volume":"16","author":"D Han","year":"2022","unstructured":"Han D, Kong Y, Han J, Wang G (2022) A survey of music emotion recognition. Front Comp Sci 16(6):166335","journal-title":"Front Comp Sci"},{"issue":"5","key":"9506_CR14","doi-asserted-by":"publisher","first-page":"1025","DOI":"10.1109\/TPAMI.2019.2961900","volume":"42","author":"R He","year":"2020","unstructured":"He R, Cao J, Song L, Sun Z, Tan T (2020) Adversarial cross-spectral face completion for NIR-VIS face recognition. IEEE Trans Pattern Anal Mach Intell 42(5):1025\u20131037","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9506_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117295","volume":"202","author":"H Jia","year":"2022","unstructured":"Jia H, Khishe M, Mohammadi M, Rashidi S (2022) Deep cepstrum-wavelet autoencoder: a novel intelligent sonar classifier. Expert Syst Appl 202:117295","journal-title":"Expert Syst Appl"},{"key":"9506_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113338","volume":"149","author":"M Khishe","year":"2020","unstructured":"Khishe M, Mosavi MR (2020) Chimp optimization algorithm. Expert Syst Appl 149:113338","journal-title":"Expert Syst Appl"},{"key":"9506_CR17","doi-asserted-by":"publisher","unstructured":"Kovenko V, Shevchuk V (2021) OAHEGA: emotion recognition dataset. Mendeley Data. https:\/\/doi.org\/10.17632\/5ck5zz6f2c.2","DOI":"10.17632\/5ck5zz6f2c.2"},{"key":"9506_CR18","doi-asserted-by":"crossref","unstructured":"Krupa KS, Ambara G, Rai K & Choudhury S (2020) Emotion aware smart music recommender system using two level CNN. In: 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT) (pp 1322\u20131327). IEEE","DOI":"10.1109\/ICSSIT48917.2020.9214164"},{"key":"9506_CR19","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2021.627561","author":"T K\u00fcntzler","year":"2021","unstructured":"K\u00fcntzler T, H\u00f6fling TTA, Alpers GW (2021) Automatic facial expression recognition in standardized and non-standardized emotional expressions. Front Psychol. https:\/\/doi.org\/10.3389\/fpsyg.2021.627561","journal-title":"Front Psychol"},{"key":"9506_CR20","unstructured":"Mammadli R, Bilgin H & Karaca AC (2022) Music recommendation system based on emotion, age and ethnicity. arXiv preprint arXiv:2212.04782"},{"key":"9506_CR21","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1016\/j.procs.2022.08.050","volume":"204","author":"G Meena","year":"2022","unstructured":"Meena G et al (2022) Sentiment analysis from images using VGG19 based transfer learning approach. Procedia Comput Sci 204:411\u2013418","journal-title":"Procedia Comput Sci"},{"key":"9506_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/s42452-020-2234-1","author":"N Mehendale","year":"2020","unstructured":"Mehendale N (2020) Facial emotion recognition using convolutional neural networks (FERC). SN Appl Sci. https:\/\/doi.org\/10.1007\/s42452-020-2234-1","journal-title":"SN Appl Sci"},{"key":"9506_CR23","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1016\/j.procs.2020.07.101","volume":"175","author":"W Mellouk","year":"2020","unstructured":"Mellouk W, Handouzi W (2020) Facial emotion recognition using deep learning: review and insights. Procedia Comput Sci 175:689\u2013694","journal-title":"Procedia Comput Sci"},{"key":"9506_CR24","doi-asserted-by":"publisher","DOI":"10.5070\/M4111041558","author":"JL Moran","year":"2019","unstructured":"Moran JL (2019) Classifying emotion using convolutional neural networks. UC Merced Undergrad Res J. https:\/\/doi.org\/10.5070\/M4111041558","journal-title":"UC Merced Undergrad Res J"},{"key":"9506_CR25","doi-asserted-by":"publisher","first-page":"90495","DOI":"10.1109\/ACCESS.2020.2993803","volume":"8","author":"K Patel","year":"2020","unstructured":"Patel K et al (2020) Facial sentiment analysis using AI techniques: state-of-the-art, taxonomies, and challenges. IEEE Access 8:90495\u201390519","journal-title":"IEEE Access"},{"key":"9506_CR26","doi-asserted-by":"crossref","unstructured":"Poru\u0219niuc GC, Leon F, Timofte R & Miron C (2019) Convolutional neural networks architectures for facial expression recognition. In: 2019 E-Health and Bioengineering Conference (EHB) (pp 1\u20136). IEEE","DOI":"10.1109\/EHB47216.2019.8969930"},{"issue":"3","key":"9506_CR27","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1007\/s10470-022-02014-1","volume":"111","author":"A Saffari","year":"2022","unstructured":"Saffari A, Khishe M, Zahiri SH (2022a) Fuzzy-ChOA: an improved chimp optimization algorithm for marine mammal classification using artificial neural network. Analog Integr Circ Sig Process 111(3):403\u2013417","journal-title":"Analog Integr Circ Sig Process"},{"issue":"1","key":"9506_CR28","first-page":"1","volume":"9","author":"A Saffari","year":"2022","unstructured":"Saffari A, Zahiri SH, Khishe M, Mosavi SM (2022b) Design of a fuzzy model of control parameters of chimp algorithm optimization for automatic sonar targets recognition. Iran J Mar Technol 9(1):1\u201314","journal-title":"Iran J Mar Technol"},{"key":"9506_CR29","doi-asserted-by":"crossref","unstructured":"Scherer D, M\u00fcller A & Behnke S (2010) Evaluation of pooling operations in convolutional architectures for object recognition. In: International conference on artificial neural networks. Springer, Berlin, pp 92\u2013101","DOI":"10.1007\/978-3-642-15825-4_10"},{"key":"9506_CR30","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.neucom.2018.05.104","volume":"312","author":"K Song","year":"2018","unstructured":"Song K et al (2018) Boosting image sentiment analysis with visual attention. Neurocomputing 312:218\u2013228","journal-title":"Neurocomputing"},{"issue":"3","key":"9506_CR31","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1007\/s10618-011-0238-6","volume":"24","author":"M Tsytsarau","year":"2012","unstructured":"Tsytsarau M, Palpanas T (2012) Survey on mining subjective data on the web. Data Min Knowl Disc 24(3):478\u2013514","journal-title":"Data Min Knowl Disc"},{"key":"9506_CR32","doi-asserted-by":"crossref","unstructured":"Upadhyay V and Kotak D (2020) A review on different facial feature extraction methods for face emotions recognition system. In: Fourth International Conference on Inventive Systems and Control (ICISC),08\u201310 January 2020, Coimbatore, India","DOI":"10.1109\/ICISC47916.2020.9171172"},{"issue":"29","key":"9506_CR33","doi-asserted-by":"publisher","first-page":"42117","DOI":"10.1007\/s11042-021-11220-4","volume":"81","author":"N Varshner","year":"2021","unstructured":"Varshner N, Bakariya B (2021) Deep convolutional neural model for human activities recognition in a sequence of video by combining multiple CNN streams. Multimed Tools Appl 81(29):42117\u201342129","journal-title":"Multimed Tools Appl"},{"issue":"16","key":"9506_CR34","doi-asserted-by":"publisher","first-page":"22307","DOI":"10.1007\/s11042-021-11131-4","volume":"81","author":"N Varshney","year":"2022","unstructured":"Varshney N, Bakariya B, Kushwaha AKS (2022) Human activity recognition using deep transfer learning of cross position sensor based on vertical distribution of data. Multimed Tools Appl 81(16):22307\u201322322","journal-title":"Multimed Tools Appl"},{"key":"9506_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2021.107319","volume":"94","author":"M Wang","year":"2021","unstructured":"Wang M, Huang Z, Li Y, Dong L, Pan H (2021) Maximum weight multi-modal information fusion algorithm of electroencephalographs and face images for emotion recognition. Comput Electr Eng 94:107319","journal-title":"Comput Electr Eng"},{"issue":"2","key":"9506_CR36","doi-asserted-by":"publisher","first-page":"1355","DOI":"10.1007\/s11277-021-09410-2","volume":"124","author":"X Wang","year":"2022","unstructured":"Wang X, Gong C, Khishe M, Mohammadi M, Rashid TA (2022) Pulmonary diffuse airspace opacities diagnosis from chest X-ray images using deep convolutional neural networks fine-tuned by whale optimizer. Wireless Pers Commun 124(2):1355\u20131374","journal-title":"Wireless Pers Commun"},{"key":"9506_CR37","doi-asserted-by":"crossref","unstructured":"Xiao Z, Zhang H, Tong H & Xu X (2022) An efficient temporal network with dual self-distillation for electroencephalography signal classification. In: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp 1759\u20131762). IEEE","DOI":"10.1109\/BIBM55620.2022.9995049"},{"issue":"11","key":"9506_CR38","doi-asserted-by":"publisher","first-page":"8583","DOI":"10.1002\/int.22957","volume":"37","author":"H Xing","year":"2022","unstructured":"Xing H, Xiao Z, Zhan D, Luo S, Dai P, Li K (2022a) SelfMatch: Robust semisupervised time-series classification with self-distillation. Int J Intell Syst 37(11):8583\u20138610","journal-title":"Int J Intell Syst"},{"key":"9506_CR39","first-page":"1","volume":"71","author":"H Xing","year":"2022","unstructured":"Xing H, Xiao Z, Qu R, Zhu Z, Zhao B (2022b) An efficient federated distillation learning system for multitask time series classification. IEEE Trans Instrum Meas 71:1\u201312","journal-title":"IEEE Trans Instrum Meas"},{"issue":"1","key":"9506_CR40","volume":"2025","author":"L Yang","year":"2021","unstructured":"Yang L, Zhang H, Li D, Xiao F, Yang S (2021) Facial expression recognition based on transfer learning and SVM. J Phys 2025(1):012015 (IOP Publishing)","journal-title":"J Phys"},{"key":"9506_CR41","doi-asserted-by":"publisher","unstructured":"Yutong G, Khishe M, Mohammadi M, Rashidi S and Nateri MS (2022) Evolving deep convolutional neural networks by extreme learning machine and fuzzy slime mould optimizer for real-time sonar image recognition. Int J Fuzzy Syst 24:1371\u20131389. https:\/\/doi.org\/10.1007\/s40815-021-01195-7","DOI":"10.1007\/s40815-021-01195-7"},{"key":"9506_CR42","doi-asserted-by":"crossref","unstructured":"Zahara L, Musa P, Wibowo EP, Karim I and Musa SB (2020) The facial emotion recognition (FER-2013) dataset for prediction system of micro-expressions face using the convolutional neural network (CNN) algorithm based raspberry Pi. In: Fifth International Conference on Informatics and Computing (ICIC), IEEE Xplore, 03\u201304 November 2020","DOI":"10.1109\/ICIC50835.2020.9288560"},{"key":"9506_CR43","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2022.108090","volume":"101","author":"S Zhao","year":"2022","unstructured":"Zhao S, Liu W, Liu S, Ge J, Liang X (2022) A hybrid-supervision learning algorithm for real-time un-completed face recognition. Comput Elect Eng 101:108090","journal-title":"Comput Elect Eng"}],"container-title":["Evolving Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-023-09506-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12530-023-09506-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-023-09506-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,28]],"date-time":"2024-03-28T12:21:59Z","timestamp":1711628519000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12530-023-09506-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,16]]},"references-count":44,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,4]]}},"alternative-id":["9506"],"URL":"https:\/\/doi.org\/10.1007\/s12530-023-09506-z","relation":{},"ISSN":["1868-6478","1868-6486"],"issn-type":[{"value":"1868-6478","type":"print"},{"value":"1868-6486","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,16]]},"assertion":[{"value":"1 November 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 May 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 May 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}