{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T19:29:30Z","timestamp":1778182170317,"version":"3.51.4"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,6,23]],"date-time":"2020-06-23T00:00:00Z","timestamp":1592870400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,6,23]],"date-time":"2020-06-23T00:00:00Z","timestamp":1592870400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1007\/s42979-020-00223-x","type":"journal-article","created":{"date-parts":[[2020,6,23]],"date-time":"2020-06-23T15:03:48Z","timestamp":1592924628000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["An Efficient Human Computer Interaction through Hand Gesture Using Deep Convolutional Neural Network"],"prefix":"10.1007","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4535-5978","authenticated-orcid":false,"given":"Md. Milon","family":"Islam","sequence":"first","affiliation":[]},{"given":"Md. Repon","family":"Islam","sequence":"additional","affiliation":[]},{"given":"Md. Saiful","family":"Islam","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,6,23]]},"reference":[{"key":"223_CR1","unstructured":"G Coleman, R Ward. Gesture recognition performance, applications and features. 4th ed. New York : Nova Science Publishers, Inc; 2018."},{"key":"223_CR2","doi-asserted-by":"publisher","unstructured":"A Voulodimos, N Doulamis, A Doulamis, E Protopapadakis. Deep learning for computer vision: a brief review. Comput Intell Neurosci. 2018;2018:1\u201313. https:\/\/doi.org\/10.1155\/2018\/7068349.","DOI":"10.1155\/2018\/7068349"},{"key":"223_CR3","doi-asserted-by":"publisher","first-page":"27","DOI":"10.5815\/ijigsp.2019.03.04","volume":"11","author":"M Rezwanul Haque","year":"2019","unstructured":"Rezwanul Haque M, Milon Islam M, Saeed Alam K, Iqbal H. A computer vision based lane detection approach. Int J Image, Graph Signal Process. 2019;11:27\u201334. https:\/\/doi.org\/10.5815\/ijigsp.2019.03.04.","journal-title":"Int J Image, Graph Signal Process"},{"key":"223_CR4","doi-asserted-by":"crossref","unstructured":"Dabre K, Dholay S (2014) Machine learning model for sign language interpretation using webcam images. In: 2014 International conference on circuits, systems, communication and information technology applications, CSCITA 2014","DOI":"10.1109\/CSCITA.2014.6839279"},{"key":"223_CR5","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1007\/s10462-011-9303-1","volume":"41","author":"H Hasan","year":"2014","unstructured":"Hasan H, Abdul-Kareem S. Static hand gesture recognition using neural networks Artif. Intell Rev. 2014;41:147\u201381. https:\/\/doi.org\/10.1007\/s10462-011-9303-1.","journal-title":"Intell Rev"},{"key":"223_CR6","doi-asserted-by":"crossref","unstructured":"Molchanov P, Yang X, Gupta S, Kim K, Tyree S, Kautz J (2016) online detection and classification of dynamic hand gestures with recurrent 3d convolutional neural Networks. In: proceedings of the IEEE computer society conference on computer vision and pattern Recognition","DOI":"10.1109\/CVPR.2016.456"},{"key":"223_CR7","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/j.procs.2017.09.092","volume":"115","author":"A Haria","year":"2017","unstructured":"Haria A, Subramanian A, Asokkumar N, Poddar S, Nayak JS. Hand gesture recognition for human computer interaction. Procedia Comp Sci. 2017;115:367\u201374.","journal-title":"Procedia Comp Sci"},{"issue":"2","key":"223_CR8","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/MMUL.2012.24","volume":"19","author":"Z Zhang","year":"2012","unstructured":"Zhang Z. Microsoft kinect sensor and its effect. IEEE Multimed. 2012;19(2):4\u201310. https:\/\/doi.org\/10.1109\/MMUL.2012.24.","journal-title":"IEEE Multimed"},{"key":"223_CR9","unstructured":"Memo A, Minto L, Zanuttigh P (2015) Exploiting silhouette descriptors and synthetic data for hand gesture recognition. In: Italian chapter conference 2015\u2014smart tools and apps in computer graphics, STAG 2015"},{"key":"223_CR10","doi-asserted-by":"crossref","unstructured":"Keskin C, Kira\u00e7 F, Kara YE, Akarun L (2011) Real time hand pose estimation using depth sensors. In: proceedings of the IEEE international conference on computer Vision","DOI":"10.1109\/ICCVW.2011.6130391"},{"key":"223_CR11","doi-asserted-by":"publisher","DOI":"10.17849\/insm-47-01-31-39.1","author":"SJ Rigatti","year":"2017","unstructured":"Rigatti SJ. Random Forest J Insur Med. 2017. https:\/\/doi.org\/10.17849\/insm-47-01-31-39.1.","journal-title":"Random Forest J Insur Med"},{"key":"223_CR12","doi-asserted-by":"crossref","unstructured":"Rahman MA, Sadi MS, Islam MM, Saha P (2019) Design and Development of Navigation Guide for Visually Impaired People. In: 2019 IEEE International conference on biomedical engineering, computer and information technology for health (BECITHCON). IEEE, pp 89\u201392","DOI":"10.1109\/BECITHCON48839.2019.9063201"},{"key":"223_CR13","doi-asserted-by":"publisher","unstructured":"Khanom M, Sadi MS, Islam MM (2019) A comparative study of walking assistance Tools developed for the visually impaired people. 1st Int conf adv sci eng robot technol 2019, ICASERT 2019 2019:1\u20135. https:\/\/doi.org\/10.1109\/ICASERT.2019.8934566","DOI":"10.1109\/ICASERT.2019.8934566"},{"key":"223_CR14","first-page":"49","volume":"11","author":"MM Rahman","year":"2019","unstructured":"Rahman MM, Islam M, Ahmmed S. \u201cBlindShoe\u201d: an electronic guidance system for the visually impaired people. J Telecommun Electron Comp Eng (JTEC). 2019;11:49\u201354.","journal-title":"J Telecommun Electron Comp Eng (JTEC)"},{"key":"223_CR15","doi-asserted-by":"publisher","first-page":"327","DOI":"10.18280\/ria.330501","volume":"33","author":"A Habib","year":"2019","unstructured":"Habib A, Islam MM, Kabir MN, Mredul MB, Hasan M. Staircase detection to guide visually impaired people: a hybrid approach. Rev d\u2019Intell Artif. 2019;33:327\u201334. https:\/\/doi.org\/10.18280\/ria.330501.","journal-title":"Rev d\u2019Intell Artif"},{"key":"223_CR16","doi-asserted-by":"publisher","first-page":"2814","DOI":"10.1109\/JSEN.2018.2890423","volume":"19","author":"MM Islam","year":"2019","unstructured":"Islam MM, Sadi MS, Zamli KZ, Ahmed MM. Developing walking assistants for visually impaired people: a review. IEEE Sens J. 2019;19:2814\u201328. https:\/\/doi.org\/10.1109\/JSEN.2018.2890423.","journal-title":"IEEE Sens J"},{"key":"223_CR17","first-page":"13","volume":"16","author":"N Alam","year":"2018","unstructured":"Alam N, Islam M, Habib A, Mredul MB. Staircase detection systems for the visually impaired people : a review. Int J Comp Sci Inf Secur (IJCSIS). 2018;16:13\u201318.","journal-title":"Int J Comp Sci Inf Secur (IJCSIS)"},{"key":"223_CR18","doi-asserted-by":"crossref","unstructured":"Kamal MM, Bayazid AI, Sadi MS, Islam MM, Hasan N (2017) Towards developing walking assistants for the visually impaired people. In: 2017 IEEE region 10 humanitarian technology Conference (R10-HTC). IEEE, pp 238\u2013241","DOI":"10.1109\/R10-HTC.2017.8288947"},{"key":"223_CR19","doi-asserted-by":"crossref","unstructured":"Islam MM, Sadi MS, Islam MM, Hasan MK (2018) A New Method for Road Surface Detection. In: 2018 4th International conference on electrical engineering and information & communication technology (iCEEiCT). IEEE, pp 624\u2013629","DOI":"10.1109\/CEEICT.2018.8628125"},{"key":"223_CR20","doi-asserted-by":"crossref","unstructured":"Islam MM, Sadi MS (2018) Path Hole Detection to Assist the Visually Impaired People in Navigation. In: 2018 4th International conference on electrical engineering and information & communication technology (iCEEiCT). IEEE, pp 268\u2013273","DOI":"10.1109\/CEEICT.2018.8628134"},{"key":"223_CR21","doi-asserted-by":"publisher","first-page":"569","DOI":"10.18280\/isi.240602","volume":"24","author":"MM Islam","year":"2019","unstructured":"Islam MM, Neom NH, Imtiaz MS, Nooruddin S, Islam MR, Islam MR. A review on fall detection systems using data from smartphone sensors. Ing des Syst d\u2019Inf. 2019;24:569\u201376. https:\/\/doi.org\/10.18280\/isi.240602.","journal-title":"Ing des Syst d\u2019Inf"},{"key":"223_CR22","doi-asserted-by":"crossref","unstructured":"Islam MM, Hasan MK, Billah MM, Uddin MM (2017) Development of smartphone-based student attendance system. In: 2017 IEEE region 10 humanitarian technology conference (R10-HTC). IEEE, pp 230\u2013233","DOI":"10.1109\/R10-HTC.2017.8288945"},{"key":"223_CR23","doi-asserted-by":"publisher","first-page":"100130","DOI":"10.1016\/j.iot.2019.100130","volume":"9","author":"S Nooruddin","year":"2020","unstructured":"Nooruddin S, Milon Islam M, Sharna FA. An IoT based device-type invariant fall detection system. Internet Things. 2020;9:100130. https:\/\/doi.org\/10.1016\/j.iot.2019.100130.","journal-title":"Internet Things"},{"key":"223_CR24","doi-asserted-by":"publisher","first-page":"435","DOI":"10.18280\/ria.330605","volume":"33","author":"A Rahaman","year":"2019","unstructured":"Rahaman A, Islam M, Islam M, Sadi M, Nooruddin S. Developing IoT based smart health monitoring systems: a review. Rev d\u2019Int Artif. 2019;33:435\u201340. https:\/\/doi.org\/10.18280\/ria.330605.","journal-title":"Rev d\u2019Int Artif"},{"key":"223_CR25","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1007\/s42979-020-00195-y","volume":"1","author":"MM Islam","year":"2020","unstructured":"Islam MM, Rahaman A, Islam MR. Development of smart healthcare monitoring system in IoT environment. SN Comput Sci. 2020;1:185. https:\/\/doi.org\/10.1007\/s42979-020-00195-y.","journal-title":"SN Comput Sci"},{"key":"223_CR26","doi-asserted-by":"crossref","unstructured":"Brutzer S, H\u00f6ferlin B, Heidemann G (2011) Evaluation of background subtraction techniques for video surveillance. In: proceedings of the IEEE computer society conference on computer vision and pattern recognition","DOI":"10.1109\/CVPR.2011.5995508"},{"key":"223_CR27","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.procs.2015.07.362","volume":"57","author":"KB Shaik","year":"2015","unstructured":"Shaik KB, Ganesan P, Kalist V, Sathish B, Jenitha JMM. Comparative study of skin color detection and segmentation in HSV and YCbCr color space. Procedia Comp Sci. 2015;57:41\u20138. https:\/\/doi.org\/10.1016\/j.procs.2015.07.362.","journal-title":"Procedia Comp Sci"},{"issue":"4","key":"223_CR28","first-page":"1431","volume":"6","author":"A Tsagaris","year":"2013","unstructured":"Tsagaris A, Manitsaris S. Colour space comparison for skin detection in finger gesture recognition. Int J Adv Eng Technol. 2013;6(4):1431.","journal-title":"Int J Adv Eng Technol"},{"key":"223_CR29","unstructured":"Soo S. Object detection using Haar-cascade Classifier. Inst Comp Sci Univ Tartu. 2014;2(3):1\u201312."},{"key":"223_CR30","unstructured":"Fisher R, Perkins S, Walker A, Wolfart E (2003) Spatial Filters\u2014Gaussian Smoothing. Image Process. Learn. Resour."},{"key":"223_CR31","doi-asserted-by":"crossref","unstructured":"Tang M, Yu B, Zhang F, Wang J (2018) High-speed tracking with Multi-kernel correlation Filters. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition","DOI":"10.1109\/CVPR.2018.00512"},{"key":"223_CR32","doi-asserted-by":"publisher","unstructured":"Grigorev A, Derevitskii I, Bochenina K. Analysis of special transport behavior using computer vision analysis of video from traffic cameras. Commun Comput Inform Sci. 2018;858:289\u2013301. https:\/\/doi.org\/10.1007\/978-3-030-02843-5_23.","DOI":"10.1007\/978-3-030-02843-5_23"},{"key":"223_CR33","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2020.2964748","author":"C Cheng","year":"2020","unstructured":"Cheng C, Parhi KK. Fast 2D convolution algorithms for convolutional neural networks. IEEE Trans Circuits Syst I Regul Pap. 2020. https:\/\/doi.org\/10.1109\/TCSI.2020.2964748.","journal-title":"IEEE Trans Circuits Syst I Regul Pap"},{"key":"223_CR34","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y Lecun","year":"2015","unstructured":"Lecun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521:436\u201344.","journal-title":"Nature"},{"key":"223_CR35","doi-asserted-by":"crossref","unstructured":"Haque S, Sadi MS, Rafi MEH, Islam MM, Hasan MK (2020) Real-Time Crowd Detection to Prevent Stampede. pp 665\u2013678","DOI":"10.1007\/978-981-13-7564-4_56"},{"key":"223_CR36","doi-asserted-by":"publisher","unstructured":"Muhammad LJ, Islam MM, Sharif US, Ayon SI. Predictive data mining models for novel coronavirus (COVID-19) Infected Patients Recovery. SN Comput Sci. 2020;1:216. https:\/\/doi.org\/10.1007\/s42979-020-00216-w.","DOI":"10.1007\/s42979-020-00216-w"},{"key":"223_CR37","doi-asserted-by":"crossref","unstructured":"Hasan MK, Islam MM, Hashem MMA (2016) Mathematical model development to detect breast cancer using multigene genetic programming. In: 2016 5th International conference on informatics, electronics and vision (ICIEV). IEEE, pp 574\u2013579","DOI":"10.1109\/ICIEV.2016.7760068"},{"key":"223_CR38","doi-asserted-by":"crossref","unstructured":"Das S, Sadi MS, Ahsanul Haque M, Islam MM (2019) A machine learning approach to protect electronic devices from damage using the concept of outlier. In: 2019 1st international conference on advances in science, engineering and robotics technology (ICASERT). IEEE, pp 1\u20136","DOI":"10.1109\/ICASERT.2019.8934468"},{"key":"223_CR39","doi-asserted-by":"crossref","unstructured":"Haque MR, Islam MM, Iqbal H, Reza MS, Hasan MK (2018) Performance evaluation of random forests and artificial neural networks for the classification of Liver Disorder. In: 2018 International conference on computer, communication, chemical, material and electronic engineering (IC4ME2). IEEE, pp 1\u20135","DOI":"10.1109\/IC4ME2.2018.8465658"},{"key":"223_CR40","doi-asserted-by":"crossref","unstructured":"Islam MM, Iqbal H, Haque MR, Hasan MK (2017) Prediction of breast cancer using support vector machine and K-nearest neighbors. In: 2017 IEEE Region 10 Humanitarian technology conference (R10-HTC). IEEE, pp 226\u2013229","DOI":"10.1109\/R10-HTC.2017.8288944"},{"key":"223_CR41","doi-asserted-by":"publisher","first-page":"21","DOI":"10.5815\/ijieeb.2019.02.03","volume":"11","author":"S Islam Ayon","year":"2019","unstructured":"Islam Ayon S, Milon Islam M. Diabetes prediction: a deep learning approach. Int J Inf Eng Electron Bus. 2019;11:21\u20137. https:\/\/doi.org\/10.5815\/ijieeb.2019.02.03.","journal-title":"Int J Inf Eng Electron Bus"},{"key":"223_CR42","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1007\/978-981-15-2317-5_25","volume":"632","author":"M Milon Islam","year":"2020","unstructured":"Milon Islam M, Kabir MN, Sadi MS, Morsalin MI, Haque A, Wang J. A novel approach towards tamper detection of digital holy quran generation. Lect Notes Electr Eng. 2020;632:297\u2013308.","journal-title":"Lect Notes Electr Eng"},{"key":"223_CR43","doi-asserted-by":"publisher","DOI":"10.1080\/03772063.2020.1713916","author":"SI Ayon","year":"2020","unstructured":"Ayon SI, Islam MM, Hossain MR. Coronary artery heart disease prediction: a comparative study of computational intelligence techniques. IETE J Res. 2020. https:\/\/doi.org\/10.1080\/03772063.2020.1713916.","journal-title":"IETE J Res"},{"key":"223_CR44","doi-asserted-by":"publisher","first-page":"100059","DOI":"10.1016\/j.iot.2019.100059","volume":"7","author":"M Hasan","year":"2019","unstructured":"Hasan M, Islam MM, Zarif MII, Hashem MMA. Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches. Internet Things. 2019;7:100059. https:\/\/doi.org\/10.1016\/j.iot.2019.100059.","journal-title":"Internet Things"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-020-00223-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-020-00223-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-020-00223-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,22]],"date-time":"2021-06-22T23:35:48Z","timestamp":1624404948000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-020-00223-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,23]]},"references-count":44,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,7]]}},"alternative-id":["223"],"URL":"https:\/\/doi.org\/10.1007\/s42979-020-00223-x","relation":{},"ISSN":["2662-995X","2661-8907"],"issn-type":[{"value":"2662-995X","type":"print"},{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6,23]]},"assertion":[{"value":"3 June 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 June 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 June 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with Ethical Standards"}},{"value":"On behalf of all authors, the corresponding author states that there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}],"article-number":"211"}}