{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T18:40:59Z","timestamp":1780425659625,"version":"3.54.1"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,2,12]],"date-time":"2023-02-12T00:00:00Z","timestamp":1676160000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,2,12]],"date-time":"2023-02-12T00:00:00Z","timestamp":1676160000000},"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":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1007\/s12652-023-04542-8","type":"journal-article","created":{"date-parts":[[2023,2,13]],"date-time":"2023-02-13T18:04:07Z","timestamp":1676311447000},"page":"4329-4341","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["A vision system to assist visually challenged people for face recognition using multi-task cascaded convolutional neural network (MTCNN) and local binary pattern (LBP)"],"prefix":"10.1007","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2000-6824","authenticated-orcid":false,"given":"A.","family":"Baskar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"T. Gireesh","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sathishkumar","family":"Samiappan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,2,12]]},"reference":[{"key":"4542_CR1","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1016\/j.procs.2020.03.216","volume":"167","author":"GS Aakash Krishna","year":"2020","unstructured":"Aakash Krishna GS, Pon VN, Rai S, Baskar A (2020) Vision system with 3D audio feedback to assist navigation for visually impaired. Proc Comput Sci 167:235\u2013243","journal-title":"Proc Comput Sci"},{"key":"4542_CR2","first-page":"208","volume-title":"International conference on signal acquisition and processing","author":"MH Asmare","year":"2009","unstructured":"Asmare MH, Asirvadam VS, Iznita L (2009) Color space selection for color image enhancement applications. International conference on signal acquisition and processing. IEEE, pp 208\u2013212"},{"key":"4542_CR3","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/978-981-10-3223-3_32","volume":"542","author":"A Baskar","year":"2018","unstructured":"Baskar A, Gireesh Kumar T (2018) Facial expression classification using machine learning approach: a review. Data Eng Intell Comput 542:337\u2013345","journal-title":"Data Eng Intell Comput"},{"key":"4542_CR4","first-page":"1084","volume-title":"40th international convention on information and communication technology","author":"J Bhattacharya","year":"2017","unstructured":"Bhattacharya J, Marsi S, Carrato S, Frey H, Ramponi G (2017) Feeding a DNN for face verification in video data acquired by a visually impaired user. 40th international convention on information and communication technology. Electronics and Microelectronics (MIPRO), pp 1084\u20131089"},{"issue":"9","key":"4542_CR5","doi-asserted-by":"publisher","first-page":"e888","DOI":"10.1016\/S2214-109X(17)30293-0","volume":"5","author":"RR Bourne","year":"2017","unstructured":"Bourne RR, Flaxman SR, Braithwaite T, Cicinelli MV, Das A, Jonas JB, Keeffe J, Kempen JH, Leasher J, Limburg H, Naidoo K (2017) Vision loss expert group magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis. Lancet Glob Health-Elsevier 5(9):e888\u2013e897. https:\/\/doi.org\/10.1016\/S2214-109X(17)30293-0","journal-title":"Lancet Glob Health-Elsevier"},{"issue":"2","key":"4542_CR6","doi-asserted-by":"publisher","first-page":"e130","DOI":"10.1016\/S2214-109X(20)30425-3","volume":"9","author":"R Bourne","year":"2021","unstructured":"Bourne R, Steinmetz JD, Flaxman S, Briant PS, Taylor HR, Resnikoff S, Casson RJ, Abdoli A, Abu-Gharbieh E, Afshin A, Ahmadieh H (2021) Trends in prevalence of blindness and distance and near vision impairment over 30 years: an analysis for the global burden of disease study. Lancet Glob Health 9(2):e130\u2013e143. https:\/\/doi.org\/10.1016\/S2214-109X(20)30425-3","journal-title":"Lancet Glob Health"},{"issue":"7","key":"4542_CR7","doi-asserted-by":"publisher","first-page":"1502","DOI":"10.1109\/TNNLS.2015.2441735","volume":"27","author":"X Chang","year":"2015","unstructured":"Chang X, Nie F, Wang S, Yang Y, Zhou X, Zhang C (2015) Compound rank-k projections for bilinear analysis. IEEE Trans Neural Netw Learn Syst 27(7):1502\u20131513","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"5","key":"4542_CR8","doi-asserted-by":"publisher","first-page":"1747","DOI":"10.1109\/TNNLS.2019.2927224","volume":"31","author":"K Chen","year":"2020","unstructured":"Chen K, Yao L, Zhang D, Wang X, Chang X, Nie F (2020) A semisupervised recurrent convolutional attention model for human activity recognition. IEEE Trans Neural Netw Learn Syst 31(5):1747\u20131756","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"3","key":"4542_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2845089","volume":"7","author":"C Ding","year":"2016","unstructured":"Ding C, Tao D (2016) A comprehensive survey on pose-invariant face recognition. ACM Trans Intell Syst Technol 7(3):1\u201340. https:\/\/doi.org\/10.1145\/2845089","journal-title":"ACM Trans Intell Syst Technol"},{"issue":"6","key":"4542_CR10","doi-asserted-by":"publisher","first-page":"1691","DOI":"10.1016\/j.patcog.2012.11.022","volume":"46","author":"H Han","year":"2013","unstructured":"Han H, Shan S, Chen X, Gao W (2013) A comparative study on illumination preprocessing in face recognition. Pattern Recogn 46(6):1691\u20131699. https:\/\/doi.org\/10.1016\/j.patcog.2012.11.022","journal-title":"Pattern Recogn"},{"issue":"12","key":"4542_CR11","doi-asserted-by":"publisher","first-page":"6073","DOI":"10.1109\/TNNLS.2018.2817538","volume":"29","author":"Z Li","year":"2018","unstructured":"Li Z, Nie F, Chang X, Nie L, Zhang H, Yang Y (2018a) Rank-constrained spectral clustering with flexible embedding. IEEE Trans Neural Netw Learn Syst 29(12):6073\u20136082","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"12","key":"4542_CR12","doi-asserted-by":"publisher","first-page":"6323","DOI":"10.1109\/TNNLS.2018.2829867","volume":"29","author":"Z Li","year":"2018","unstructured":"Li Z, Nie F, Chang X, Yang Y, Zhang C, Sebe N (2018b) Dynamic affinity graph construction for spectral clustering using multiple features. IEEE Trans Neural Netw Learn Syst 29(12):6323\u20136332","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"4542_CR13","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1016\/j.patcog.2018.12.010","volume":"88","author":"Z Li","year":"2019","unstructured":"Li Z, Yao L, Chang X, Zhan K, Sun J, Zhang H (2019) Zero-shot event detection via event-adaptive concept relevance mining. Pattern Recogn 88:595\u2013603","journal-title":"Pattern Recogn"},{"issue":"2","key":"4542_CR14","doi-asserted-by":"publisher","first-page":"648","DOI":"10.1109\/TCYB.2017.2647904","volume":"48","author":"M Luo","year":"2018","unstructured":"Luo M, Chang X, Nie L, Yang Y, Hauptmann AG, Zheng Q (2018) An adaptive semi supervised feature analysis for video semantic recognition. IEEE Trans Cybern 48(2):648\u2013660","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"4542_CR15","first-page":"52","volume":"47","author":"LB Neto","year":"2016","unstructured":"Neto LB, Grijalva F, Maike VR, Martini LC, Florencio D, Baranauskas MC, Rocha A, Goldenstein S (2016) A kinect-based wearable face recognition system to aid visually impaired users. IEEE Trans Human-Mach Syst 47(1):52\u201364","journal-title":"IEEE Trans Human-Mach Syst"},{"key":"4542_CR16","first-page":"1","volume-title":"Proceedings of the international conference on information and knowledge engineering (IKE). The steering committee of the world congress in computer science, Computer engineering and applied computing (WorldComp)","author":"J Rabia","year":"2013","unstructured":"Rabia J, Ali SA, Arabnia HR (2013) Face recognition for the visually impaired. In: Proceedings of the international conference on information and knowledge engineering (IKE). The steering committee of the world congress in computer science, Computer engineering and applied computing (WorldComp). IEEE, pp 1\u20137"},{"issue":"4","key":"4542_CR17","first-page":"1","volume":"13","author":"MA Rahim","year":"2013","unstructured":"Rahim MA, Azam MS, Hossain N, Islam MR (2013) Face recognition using local binary patterns (LBP). Glob J Comp Sci Technol 13(4):1\u20138","journal-title":"Glob J Comp Sci Technol"},{"key":"4542_CR18","first-page":"492","volume-title":"5th international conference on computing methodologies and communication (ICCMC)","author":"K Sanath","year":"2021","unstructured":"Sanath K, Meenakshi K, Rajan M, Balamurugan V, Harikumar ME (2021) RFID and face recognition based smart attendance system. 5th international conference on computing methodologies and communication (ICCMC). ICCMC, pp 492\u2013499"},{"key":"4542_CR19","first-page":"815","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","author":"F Schroff","year":"2015","unstructured":"Schroff F, Kalenichenko D, Philbin J (2015) Facenet: a unified embedding for face recognition and clustering. Proceedings of the IEEE conference on computer vision and pattern recognition. IEEE, pp 815\u2013823"},{"key":"4542_CR20","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.neucom.2018.03.030","volume":"299","author":"X Sun","year":"2018","unstructured":"Sun X, Wu P, Hoi SC (2018) Face detection using deep learning: an improved faster RCNN approach. Neurocomputing 299:42\u201350","journal-title":"Neurocomputing"},{"key":"4542_CR21","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.patrec.2018.10.031","volume":"137","author":"R Tapu","year":"2020","unstructured":"Tapu R, Mocanu B, Zaharia T (2020) Wearable assistive devices for visually impaired: a state of the art survey. Pattern Recogn Lett 137:37\u201352","journal-title":"Pattern Recogn Lett"},{"key":"4542_CR22","first-page":"449","volume-title":"International conference on inventive computation technologies (ICICT)","author":"M Vamsi","year":"2020","unstructured":"Vamsi M, Soman KP, Guruvayurappan K (2020) Automatic seat adjustment using face recognition. International conference on inventive computation technologies (ICICT). ICICT, pp 449\u2013453"},{"issue":"1","key":"4542_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3418284","volume":"12","author":"C Yan","year":"2020","unstructured":"Yan C, Chang X, Luo M, Zheng Q, Zhang X, Li Z, Nie F (2020) Self-weighted robust LDA for multiclass classification with edge classes. ACM Trans Intell Syst Technol (TIST) 12(1):1\u201319. https:\/\/doi.org\/10.1145\/3418284","journal-title":"ACM Trans Intell Syst Technol (TIST)"},{"issue":"1","key":"4542_CR24","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1109\/34.982883","volume":"24","author":"M-H Yang","year":"2002","unstructured":"Yang M-H, Kriegman DJ, Ahuja N (2002) Detecting faces in images: a survey. IEEE Trans Pattern Anal Mach Intell 24(1):34\u201358","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"4542_CR25","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.neucom.2021.11.035","volume":"486","author":"E Yu","year":"2022","unstructured":"Yu E, Ma J, Sun J, Chang X, Zhang H, Hauptmann AG (2022) Deep discrete cross-modal hashing with multiple supervision. Neurocomputing 486:215\u2013224","journal-title":"Neurocomputing"},{"issue":"3","key":"4542_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3486678","volume":"18","author":"D Yuan","year":"2022","unstructured":"Yuan D, Chang X, Li Z, He Z (2022) Learning adaptive spatial-temporal context-aware correlation filters for UAV tracking. ACM Trans Multimedia Comput Commun Appl (TOMM) 18(3):1\u201318. https:\/\/doi.org\/10.1145\/3486678","journal-title":"ACM Trans Multimedia Comput Commun Appl (TOMM)"},{"issue":"10","key":"4542_CR27","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1109\/LSP.2016.2603342","volume":"23","author":"K Zhang","year":"2016","unstructured":"Zhang K, Zhang Z, Li Z, Qiao Y (2016) Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Signal Process Lett 23(10):1499\u20131503","journal-title":"IEEE Signal Process Lett"},{"issue":"7","key":"4542_CR28","doi-asserted-by":"publisher","first-page":"3033","DOI":"10.1109\/TCYB.2019.2905157","volume":"50","author":"D Zhang","year":"2020","unstructured":"Zhang D, Yao L, Chen K, Wang S, Chang X, Liu Y (2020) Making sense of spatio-temporal preserving representations for EEG-based human intention recognition. IEEE Trans Cybern 50(7):3033\u20133044","journal-title":"IEEE Trans Cybern"},{"issue":"5","key":"4542_CR29","doi-asserted-by":"publisher","first-page":"1592","DOI":"10.1109\/TNNLS.2019.2920905","volume":"31","author":"R Zhou","year":"2019","unstructured":"Zhou R, Chang X, Shi L, Shen YD, Yang Y, Nie F (2019) Person reidentification via multi-feature fusion with adaptive graph learning. IEEE Trans Neural Netw Learn Syst 31(5):1592\u20131601","journal-title":"IEEE Trans Neural Netw Learn Syst"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-023-04542-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-023-04542-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-023-04542-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,28]],"date-time":"2023-03-28T12:07:23Z","timestamp":1680005243000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-023-04542-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,12]]},"references-count":29,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,4]]}},"alternative-id":["4542"],"URL":"https:\/\/doi.org\/10.1007\/s12652-023-04542-8","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,12]]},"assertion":[{"value":"6 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 January 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 February 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}