{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T17:19:59Z","timestamp":1765041599764,"version":"3.28.0"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2024,10,4]],"date-time":"2024-10-04T00:00:00Z","timestamp":1728000000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,4]],"date-time":"2024-10-04T00:00:00Z","timestamp":1728000000000},"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":["Computing"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s00607-024-01349-z","type":"journal-article","created":{"date-parts":[[2024,10,4]],"date-time":"2024-10-04T04:05:12Z","timestamp":1728014712000},"page":"4131-4165","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Facial recognition and classification for customer information systems: a feature fusion deep learning approach with FFDMLC algorithm"],"prefix":"10.1007","volume":"106","author":[{"given":"M.","family":"Prithi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K.","family":"Tamizharasi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,10,4]]},"reference":[{"issue":"3","key":"1349_CR1","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/s11334-022-00471-5","volume":"20","author":"R Ghosh","year":"2024","unstructured":"Ghosh R, Sinha D (2024) Human emotion recognition by analyzing facial expressions, heart rate and blogs using deep learning method. Innov Syst Softw Eng 20(3):499\u2013507. https:\/\/doi.org\/10.1007\/s11334-022-00471-5","journal-title":"Innov Syst Softw Eng"},{"issue":"2","key":"1349_CR2","doi-asserted-by":"publisher","first-page":"1935","DOI":"10.1007\/s11227-023-05548-x","volume":"80","author":"N Aikyn","year":"2024","unstructured":"Aikyn N, Zhanegizov A, Aidarov T, Bui DM, Tu NA (2024) Efficient facial expression recognition framework based on edge computing. J Supercomput 80(2):1935\u20131972. https:\/\/doi.org\/10.1007\/s11227-023-05548-x","journal-title":"J Supercomput"},{"issue":"12","key":"1349_CR3","doi-asserted-by":"publisher","first-page":"36841","DOI":"10.1007\/s11042-023-16220-0","volume":"83","author":"N Kumari","year":"2024","unstructured":"Kumari N, Bhatia R (2024) Saliency map and deep learning based efficient facial emotion recognition technique for facial images. Multimedia Tools Appl 83(12):36841\u201336864. https:\/\/doi.org\/10.1007\/s11042-023-16220-0","journal-title":"Multimedia Tools Appl"},{"issue":"2","key":"1349_CR4","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1007\/s12530-023-09506-z","volume":"15","author":"B Bakariya","year":"2024","unstructured":"Bakariya B, Singh A, Singh H, Raju P, Rajpoot R, Mohbey KK (2024) Facial emotion recognition and music recommendation system using CNN-based deep learning techniques. Evol Syst 15(2):641\u2013658. https:\/\/doi.org\/10.1007\/s12530-023-09506-z","journal-title":"Evol Syst"},{"issue":"1","key":"1349_CR5","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1038\/s41467-023-44673-2","volume":"15","author":"JP Lee","year":"2024","unstructured":"Lee JP, Jang H, Jang Y, Song H, Lee S, Lee PS, Kim J (2024) Encoding of multi-modal emotional information via personalized skin-integrated wireless facial interface. Nat Commun 15(1):530. https:\/\/doi.org\/10.1038\/s41467-023-44673-2","journal-title":"Nat Commun"},{"issue":"9","key":"1349_CR6","doi-asserted-by":"publisher","first-page":"3044","DOI":"10.1108\/K-10-2021-0952","volume":"52","author":"Z Yang","year":"2023","unstructured":"Yang Z, Babapour H (2023) Critical variables for assessing the effectiveness of electronic customer relationship management systems in online shopping. Kybernetes 52(9):3044\u20133063","journal-title":"Kybernetes"},{"issue":"2","key":"1349_CR7","doi-asserted-by":"publisher","first-page":"2230","DOI":"10.1002\/cav.2230","volume":"35","author":"D Bellenger","year":"2024","unstructured":"Bellenger D, Chen M, Xu Z (2024) Facial emotion recognition with a reduced feature set for video game and metaverse avatars. Comp Anim Virtual World 35(2):2230. https:\/\/doi.org\/10.1002\/cav.2230","journal-title":"Comp Anim Virtual World"},{"issue":"9","key":"1349_CR8","doi-asserted-by":"publisher","first-page":"5196","DOI":"10.3390\/su14095196","volume":"14","author":"M Ozkan","year":"2022","unstructured":"Ozkan M, Cek K, Eyupoglu SZ (2022) Sustainable development and customer satisfaction and loyalty in North Cyprus: the mediating effect of customer identification. Sustainability 14(9):5196. https:\/\/doi.org\/10.3390\/su14095196","journal-title":"Sustainability"},{"issue":"4","key":"1349_CR9","doi-asserted-by":"publisher","first-page":"1819","DOI":"10.1007\/s41870-023-01183-0","volume":"15","author":"R Singh","year":"2023","unstructured":"Singh R, Saurav S, Kumar T, Saini R, Vohra A, Singh S (2023) Facial expression recognition in videos using hybrid CNN & ConvLSTM. Int J Inf Technol 15(4):1819\u20131830. https:\/\/doi.org\/10.1007\/s41870-023-01183-0","journal-title":"Int J Inf Technol"},{"issue":"1","key":"1349_CR10","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.gltp.2021.01.004","volume":"2","author":"N Sharma","year":"2021","unstructured":"Sharma N, Sharma R, Jindal N (2021) Machine learning and deep learning applications-a vision. Global Transit Proceed 2(1):24\u201328. https:\/\/doi.org\/10.1016\/j.gltp.2021.01.004","journal-title":"Global Transit Proceed"},{"key":"1349_CR11","first-page":"51","volume-title":"Artificial intelligence for cloud and edge computing","author":"O Granados","year":"2021","unstructured":"Granados O, Garcia-Bedoya O (2021) Deep learning-based facial recognition on hybrid architecture for financial services. Artificial intelligence for cloud and edge computing. Springer International Publishing, Cham, pp 51\u201370"},{"issue":"2","key":"1349_CR12","first-page":"1298","volume":"5","author":"LL Joseph","year":"2021","unstructured":"Joseph LL, Shrivastava P, Kaushik A, Bangare SL, Naveen A, Raj KB, Gulati K (2021) Methods to identify facial detection in deep learning through the use of real-time training datasets management. Efflatounia Multidiscip J 5(2):1298\u20131311","journal-title":"Efflatounia Multidiscip J"},{"key":"1349_CR13","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1016\/j.future.2020.05.002","volume":"111","author":"F Zhao","year":"2020","unstructured":"Zhao F, Li J, Zhang L, Li Z, Na SG (2020) Multi-view face recognition using deep neural networks. Futur Gener Comput Syst 111:375\u2013380. https:\/\/doi.org\/10.1016\/j.future.2020.05.002","journal-title":"Futur Gener Comput Syst"},{"issue":"2","key":"1349_CR14","doi-asserted-by":"publisher","first-page":"1073","DOI":"10.1007\/s41870-023-01662-4","volume":"16","author":"R Yadav","year":"2024","unstructured":"Yadav R, Priyanka KP (2024) AutoMEDSys: automatic facial micro-expression detection system using random fourier features based neural network. Int J Inf Technol 16(2):1073\u20131086. https:\/\/doi.org\/10.1007\/s41870-023-01662-4","journal-title":"Int J Inf Technol"},{"issue":"1","key":"1349_CR15","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/s13042-022-01681-w","volume":"15","author":"S Liu","year":"2024","unstructured":"Liu S, Huang S, Fu W, Lin JCW (2024) A descriptive human visual cognitive strategy using graph neural network for facial expression recognition. Int J Mach Learn Cybern 15(1):19\u201335. https:\/\/doi.org\/10.1007\/s13042-022-01681-w","journal-title":"Int J Mach Learn Cybern"},{"key":"1349_CR16","doi-asserted-by":"publisher","unstructured":"Ijjina EP, Kanahasabai G, Joshi AS (2020) Deep learning based approach to detect customer age, gender and expression in surveillance video. In: 2020 11th international conference on computing, communication and networking technologies (ICCCNT) IEEE, pp 1\u20136. https:\/\/doi.org\/10.1109\/ICCCNT49239.2020.9225459","DOI":"10.1109\/ICCCNT49239.2020.9225459"},{"key":"1349_CR17","doi-asserted-by":"publisher","unstructured":"Tun\u00e7 A, Yildirim M, Ta\u015fdemir \u015e, Altun AA (2021) Development of face recognition system by using deep learning and face-net algorithm in the operations processes. In: Trends in data engineering methods for intelligent systems: proceedings of the international conference on artificial intelligence and applied mathematics in engineering (ICAIAME 2020), Springer International Publishing, cham, pp 93\u2013105. https:\/\/doi.org\/10.1007\/978-3-030-79357-9_10","DOI":"10.1007\/978-3-030-79357-9_10"},{"key":"1349_CR18","doi-asserted-by":"publisher","unstructured":"Dandgawhal TP, Momin BF (2020) Customer feedback through facial expression recognition using deep neural network. In: Applied computer vision and image processing: proceedings of ICCET 2020, Vol1, Springer,Cham, pp 409\u2013414. https:\/\/doi.org\/10.1007\/978-981-15-4029-5_41.","DOI":"10.1007\/978-981-15-4029-5_41"},{"issue":"9","key":"1349_CR19","doi-asserted-by":"publisher","first-page":"3383","DOI":"10.3390\/s22093383","volume":"22","author":"Y Huang","year":"2022","unstructured":"Huang Y, Zhang J, Wei W, Qin T, Fan Y, Luo X, Yang J (2022) Research on coverage optimization in a WSN based on an improved COOT bird algorithm. Sensors 22(9):3383. https:\/\/doi.org\/10.3390\/s22093383","journal-title":"Sensors"},{"key":"1349_CR20","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1016\/j.procs.2023.01.054","volume":"218","author":"S Hangaragi","year":"2023","unstructured":"Hangaragi S, Singh T, Neelima N (2023) Face detection and recognition using face mesh and deep neural network. Procedia Comp Sci 218:741\u2013749. https:\/\/doi.org\/10.1016\/j.procs.2023.01.054","journal-title":"Procedia Comp Sci"},{"key":"1349_CR21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3270713","author":"M Jabberi","year":"2023","unstructured":"Jabberi M, Wali A, Neji B, Beyrouthy T, Alimi AM (2023) Face shapeNets for 3D face recognition. IEEE Access. https:\/\/doi.org\/10.1109\/ACCESS.2023.3270713","journal-title":"IEEE Access"},{"key":"1349_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2023.103781","volume":"92","author":"F Khezerlou","year":"2023","unstructured":"Khezerlou F, Baradarani A, Balafar MA (2023) A convolutional autoencoder model with weighted multi-scale attention modules for 3D skeleton-based action recognition. J Vis Commun Image Represent 92:103781. https:\/\/doi.org\/10.1016\/j.jvcir.2023.103781","journal-title":"J Vis Commun Image Represent"},{"issue":"1","key":"1349_CR23","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1007\/s00521-022-07807-z","volume":"35","author":"MN Pushpalatha","year":"2023","unstructured":"Pushpalatha MN, Meherishi H, Vaishnav A, Anurag Pillai R, Gupta A (2023) Facial emotion recognition and encoding application for the visually impaired. Neural Comput Appl 35(1):749\u2013755. https:\/\/doi.org\/10.1007\/s00521-022-07807-z","journal-title":"Neural Comput Appl"},{"key":"1349_CR24","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3263870","author":"S Wang","year":"2023","unstructured":"Wang S, Wang Z, Li H, Chang J, Ouyang W, Tian Q (2023) Semantic-guided Information Alignment Network for Fine-grained Image Recognition. IEEE Trans Circuits Syst Video Technol. https:\/\/doi.org\/10.1109\/TCSVT.2023.3263870","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"7","key":"1349_CR25","doi-asserted-by":"publisher","first-page":"1258","DOI":"10.1587\/transinf.2022EDL8098","volume":"106","author":"D Hirata","year":"2023","unstructured":"Hirata D, Takahashi N (2023) Ensemble learning in CNN augmented with fully connected subnetworks. IEICE Trans Inf Syst 106(7):1258\u20131261","journal-title":"IEICE Trans Inf Syst"},{"key":"1349_CR26","doi-asserted-by":"publisher","unstructured":"SS Kumar (2023) Facial expression recognition using a temporal ensemble of multi-level convolutional neural networks https:\/\/doi.org\/10.1109\/TAFFC.2019.2946540","DOI":"10.1109\/TAFFC.2019.2946540"},{"key":"1349_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2022.103296","volume":"174","author":"N Asha","year":"2022","unstructured":"Asha N, Fiaz AS, Jayashree J, Vijayashree J, Indumathi J (2022) Principal component analysis on face recognition using artificial firefirefly swarm optimization algorithm. Adv Eng Softw 174:103296. https:\/\/doi.org\/10.1016\/j.advengsoft.2022.103296","journal-title":"Adv Eng Softw"},{"issue":"22","key":"1349_CR28","doi-asserted-by":"publisher","first-page":"4608","DOI":"10.3390\/electronics12224608","volume":"12","author":"M Alonazi","year":"2023","unstructured":"Alonazi M, Alshahrani HJ, Alotaibi FA, Maray M, Alghamdi M, Sayed A (2023) Automated facial emotion recognition using the pelican optimization algorithm with a deep convolutional neural network. Electronics 12(22):4608. https:\/\/doi.org\/10.3390\/electronics12224608","journal-title":"Electronics"},{"issue":"4","key":"1349_CR29","doi-asserted-by":"publisher","first-page":"11299","DOI":"10.1007\/s11042-023-15861-5","volume":"83","author":"S Chatterjee","year":"2024","unstructured":"Chatterjee S, Saha D, Sen S, Oliva D, Sarkar R (2024) Moth-flame optimization based deep feature selection for facial expression recognition using thermal images. Multimed Tools Appl 83(4):11299\u201311322. https:\/\/doi.org\/10.1007\/s11042-023-15861-5","journal-title":"Multimed Tools Appl"},{"key":"1349_CR30","doi-asserted-by":"publisher","unstructured":"Amal VS, Suresh S, Deepa G (2022) Real-time emotion recognition from facial expressions using convolutional neural network with Fer2013 dataset. In: Ubiquitous intelligent systems: proceedings of ICUIS 2021, Springer, Cham, pp 541\u2013551. https:\/\/doi.org\/10.1007\/978-981-16-3675-2_41.","DOI":"10.1007\/978-981-16-3675-2_41"},{"issue":"4","key":"1349_CR31","doi-asserted-by":"publisher","first-page":"5455","DOI":"10.1007\/s11042-022-12796-1","volume":"82","author":"S Bhaskar","year":"2023","unstructured":"Bhaskar S, Thasleema TM (2023) LSTM model for visual speech recognition through facial expressions. Multimedia Tools and Applications 82(4):5455\u20135472. https:\/\/doi.org\/10.1007\/s11042-022-12796-1","journal-title":"Multimedia Tools and Applications"},{"key":"1349_CR32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3359436","author":"AA Alzahrani","year":"2024","unstructured":"Alzahrani AA (2024) Bioinspired image processing enabled facial emotion recognition using equilibrium optimizer with a hybrid deep learning model. IEEE Access. https:\/\/doi.org\/10.1109\/ACCESS.2024.3359436","journal-title":"IEEE Access"},{"key":"1349_CR33","doi-asserted-by":"publisher","unstructured":"Garg M, Saxena C (2024) Emotion detection from text data using machine learning for human behavior analysis. In: Computational intelligence methods for sentiment analysis in natural language processing applications, Morgan Kaufmann, pp 129\u2013144. https:\/\/doi.org\/10.1016\/B978-0-443-22009-8.00008-2.","DOI":"10.1016\/B978-0-443-22009-8.00008-2"},{"key":"1349_CR34","doi-asserted-by":"publisher","first-page":"3560","DOI":"10.1016\/j.matpr.2021.07.297","volume":"80","author":"K Sarvakar","year":"2023","unstructured":"Sarvakar K, Senkamalavalli R, Raghavendra S, Kumar JS, Manjunath R, Jaiswal S (2023) Facial emotion recognition using convolutional neural networks. Mater Today Proceed 80:3560\u20133564","journal-title":"Mater Today Proceed"},{"key":"1349_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.105942","volume":"91","author":"AM Mutawa","year":"2024","unstructured":"Mutawa AM, Hassouneh A (2024) Multimodal Real-Time patient emotion recognition system using facial expressions and brain EEG signals based on Machine learning and Log-Sync methods. Biomed Signal Process Control 91:105942. https:\/\/doi.org\/10.1016\/j.bspc.2023.105942","journal-title":"Biomed Signal Process Control"},{"issue":"2","key":"1349_CR36","doi-asserted-by":"publisher","first-page":"2453","DOI":"10.32604\/cmc.2022.019125","volume":"70","author":"OA Hassen","year":"2022","unstructured":"Hassen OA, Abu NA, Abidin ZZ, Darwish SM (2022) Realistic smile expression recognition approach using ensemble classifier with enhanced bagging. Comp Mater Continua 70(2):2453\u20132469","journal-title":"Comp Mater Continua"},{"issue":"5","key":"1349_CR37","doi-asserted-by":"publisher","first-page":"805","DOI":"10.3390\/sym13050805","volume":"13","author":"OA Hassen","year":"2021","unstructured":"Hassen OA, Abu NA, Abidin ZZ, Darwish SM (2021) A new descriptor for smile classification based on cascade classifier in unconstrained scenarios. Symmetry 13(5):805. https:\/\/doi.org\/10.3390\/sym13050805","journal-title":"Symmetry"},{"key":"1349_CR38","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-024-06259-7","author":"MM Bouchene","year":"2024","unstructured":"Bouchene MM (2024) Bayesian optimization of histogram of oriented gradients (HOG) parameters for facial recognition. J Supercomp. https:\/\/doi.org\/10.1007\/s11227-024-06259-7","journal-title":"J Supercomp"},{"issue":"13","key":"1349_CR39","doi-asserted-by":"publisher","first-page":"37961","DOI":"10.1007\/s11042-023-16837-1","volume":"83","author":"S Ch","year":"2024","unstructured":"Ch S, P V, (2024) Ameliorate grasshopper optimization algorithm based long short term memory classification for face emotion recognition system. Multimed Tools Appl 83(13):37961\u201337978. https:\/\/doi.org\/10.1007\/s11042-023-16837-1","journal-title":"Multimed Tools Appl"},{"issue":"6","key":"1349_CR40","doi-asserted-by":"publisher","first-page":"15711","DOI":"10.1007\/s11042-023-16174-3","volume":"83","author":"G Meena","year":"2024","unstructured":"Meena G, Mohbey KK, Indian A, Khan MZ, Kumar S (2024) Identifying emotions from facial expressions using a deep convolutional neural network-based approach. Multimed Tools Appl 83(6):15711\u201315732. https:\/\/doi.org\/10.1007\/s11042-023-16174-3","journal-title":"Multimed Tools Appl"},{"issue":"7","key":"1349_CR41","doi-asserted-by":"publisher","first-page":"384","DOI":"10.3390\/info15070384","volume":"15","author":"M Rashad","year":"2024","unstructured":"Rashad M, Alebiary DM, Aldawsari M, El-Sawy AA, AbuEl-Atta AH (2024) CCNN-SVM: automated model for emotion recognition based on custom convolutional neural networks with SVM. Information 15(7):384. https:\/\/doi.org\/10.3390\/info15070384","journal-title":"Information"},{"key":"1349_CR42","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3402652","author":"ZZ Li","year":"2024","unstructured":"Li ZZ, Wang FL, Qin F, Yusoff Y, Zain AM (2024) Feature selection of gene expression data using a modified artificial fish swarm algorithm with population variation. IEEE Access. https:\/\/doi.org\/10.1109\/ACCESS.2024.3402652","journal-title":"IEEE Access"}],"container-title":["Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-024-01349-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00607-024-01349-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-024-01349-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T14:09:29Z","timestamp":1730988569000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00607-024-01349-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,4]]},"references-count":42,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["1349"],"URL":"https:\/\/doi.org\/10.1007\/s00607-024-01349-z","relation":{},"ISSN":["0010-485X","1436-5057"],"issn-type":[{"type":"print","value":"0010-485X"},{"type":"electronic","value":"1436-5057"}],"subject":[],"published":{"date-parts":[[2024,10,4]]},"assertion":[{"value":"13 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 September 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 October 2024","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 conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}