{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T15:25:04Z","timestamp":1786980304641,"version":"3.56.0"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"24","license":[{"start":{"date-parts":[[2022,8,4]],"date-time":"2022-08-04T00:00:00Z","timestamp":1659571200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,8,4]],"date-time":"2022-08-04T00:00:00Z","timestamp":1659571200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Hanoi University of Science and Technology and Naver company","award":["1"],"award-info":[{"award-number":["1"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s00521-022-07651-1","type":"journal-article","created":{"date-parts":[[2022,8,4]],"date-time":"2022-08-04T09:09:37Z","timestamp":1659604177000},"page":"21849-21862","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["SHAPE: a dataset for hand gesture recognition"],"prefix":"10.1007","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9966-5576","authenticated-orcid":false,"given":"Tuan Linh","family":"Dang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huu Thang","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Duc Manh","family":"Dao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hoang Vu","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Duc Long","family":"Luong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ba Tuan","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suntae","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolas","family":"Monet","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,8,4]]},"reference":[{"key":"7651_CR1","unstructured":"ALC B, Reyes N, Abastillas M, Piccio A, Susnjak T (2011) A new 2d static hand gesture colour image dataset for asl gestures"},{"issue":"8","key":"7651_CR2","doi-asserted-by":"publisher","first-page":"2202","DOI":"10.1016\/j.patcog.2013.01.033","volume":"46","author":"SP Priyal","year":"2013","unstructured":"Priyal SP, Bora PK (2013) A robust static hand gesture recognition system using geometry based normalizations and krawtchouk moments. Pattern Recogn 46(8):2202\u20132219. https:\/\/doi.org\/10.1016\/j.patcog.2013.01.033","journal-title":"Pattern Recogn"},{"key":"7651_CR3","doi-asserted-by":"crossref","unstructured":"Pinto RF, Borges CD, Almeida A, Paula IC (2019) Static hand gesture recognition based on convolutional neural networks. J Electr Comput Eng","DOI":"10.1155\/2019\/4167890"},{"issue":"5","key":"7651_CR4","doi-asserted-by":"publisher","first-page":"1038","DOI":"10.1109\/TMM.2018.2808769","volume":"20","author":"Y Zhang","year":"2018","unstructured":"Zhang Y, Cao C, Cheng J, Lu H (2018) Egogesture: a new dataset and benchmark for egocentric hand gesture recognition. IEEE Trans Multimed 20(5):1038\u20131050. https:\/\/doi.org\/10.1109\/TMM.2018.2808769","journal-title":"IEEE Trans Multimed"},{"key":"7651_CR5","doi-asserted-by":"crossref","unstructured":"Nikouei SY, Chen Y, Song S, Xu R, Choi B-Y, Faughnan TR (2018) Real-time human detection as an edge service enabled by a lightweight cnn. In: 2018 IEEE International Conference on Edge Computing (EDGE), pp 125\u2013129. https:\/\/doi.org\/10.1109\/EDGE.2018.00025","DOI":"10.1109\/EDGE.2018.00025"},{"key":"7651_CR6","doi-asserted-by":"crossref","unstructured":"Nikouei SY, Chen Y, Song S, Xu R, Choi B-Y, Faughnan T (2018) Smart surveillance as an edge network service: from harr-cascade, svm to a lightweight CNN. In: 2018 IEEE 4th International Conference on Collaboration and Internet Computing (cic), pp 256\u2013265. https:\/\/doi.org\/10.1109\/CIC.2018.00042","DOI":"10.1109\/CIC.2018.00042"},{"key":"7651_CR7","doi-asserted-by":"crossref","unstructured":"Triesch J, Von Der\u00a0Malsburg C (1996) Robust classification of hand postures against complex backgrounds. In: Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, pp 170\u2013175. https:\/\/doi.org\/10.1109\/AFGR.1996.557260","DOI":"10.1109\/AFGR.1996.557260"},{"issue":"03","key":"7651_CR8","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1142\/S0219843610002180","volume":"7","author":"PP Kumar","year":"2010","unstructured":"Kumar PP, Vadakkepat P, Loh AP (2010) Hand posture and face recognition using a fuzzy-rough approach. Int J HR 7(03):331\u2013356. https:\/\/doi.org\/10.1142\/S0219843610002180","journal-title":"Int J HR"},{"issue":"3","key":"7651_CR9","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1007\/s11263-012-0560-5","volume":"101","author":"PK Pisharady","year":"2013","unstructured":"Pisharady PK, Vadakkepat P, Loh AP (2013) Attention based detection and recognition of hand postures against complex backgrounds. Int J Comput Vis 101(3):403\u2013419. https:\/\/doi.org\/10.1007\/s11263-012-0560-5","journal-title":"Int J Comput Vis"},{"key":"7651_CR10","doi-asserted-by":"crossref","unstructured":"Baraldi L, Paci F, Serra G, Benini L, Cucchiara R (2014) Gesture recognition in ego-centric videos using dense trajectories and hand segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp 688\u2013693. https:\/\/doi.org\/10.1109\/CVPRW.2014.107","DOI":"10.1109\/CVPRW.2014.107"},{"key":"7651_CR11","unstructured":"Dreuw P, Neidle C, Athitsos V, Sclaroff S, Ney H (2008) Benchmark databases for video-based automatic sign language recognition. In: Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC\u201908), Marrakech, Morocco"},{"key":"7651_CR12","doi-asserted-by":"crossref","unstructured":"Just A, Rodriguez Y, Marcel S (2006) Hand posture classification and recognition using the modified census transform. In: 7th International Conference on Automatic Face and Gesture Recognition (FGR06), pp 351\u2013356. https:\/\/doi.org\/10.1109\/FGR.2006.62","DOI":"10.1109\/FGR.2006.62"},{"key":"7651_CR13","doi-asserted-by":"crossref","unstructured":"Cihan\u00a0Camg\u00f6z N, Koller O, Hadfield S, Bowden R (2020) Sign language transformers: Joint end-to-end sign language recognition and translation. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp 10020\u201310030. https:\/\/doi.org\/10.1109\/CVPR42600.2020.01004","DOI":"10.1109\/CVPR42600.2020.01004"},{"key":"7651_CR14","volume-title":"Static hand gesture recognition","author":"T Messer","year":"2009","unstructured":"Messer T (2009) Static hand gesture recognition. University of Fribourg, Switzerland"},{"key":"7651_CR15","doi-asserted-by":"crossref","unstructured":"Rokade US, Doye D, Kokare M (2009) Hand gesture recognition using object based key frame selection. In: 2009 IEEE International Conference on Digital Image Processing, pp 288\u2013291. https:\/\/doi.org\/10.1109\/ICDIP.2009.74","DOI":"10.1109\/ICDIP.2009.74"},{"key":"7651_CR16","doi-asserted-by":"crossref","unstructured":"Ren Y, Zhang F (2009) Hand gesture recognition based on meb-svm. In: 2009 International Conference on Embedded Software and Systems, pp 344\u2013349. https:\/\/doi.org\/10.1109\/ICESS.2009.21","DOI":"10.1109\/ICESS.2009.21"},{"key":"7651_CR17","doi-asserted-by":"crossref","unstructured":"Simon T, Joo H, Matthews I, Sheikh Y (2017) Hand keypoint detection in single images using multiview bootstrapping. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 4645\u20134653. https:\/\/doi.org\/10.1109\/CVPR.2017.494","DOI":"10.1109\/CVPR.2017.494"},{"key":"7651_CR18","doi-asserted-by":"crossref","unstructured":"Moon G, Lee KM (2020) I2l-meshnet: Image-to-lixel prediction network for accurate 3d human pose and mesh estimation from a single rgb image. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, Proceedings, Part VII 16, pp 752\u2013768. Springer","DOI":"10.1007\/978-3-030-58571-6_44"},{"key":"7651_CR19","unstructured":"Bochkovskiy A, Wang C-Y, Liao H-YM (2020) Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934"},{"key":"7651_CR20","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 770\u2013778. https:\/\/doi.org\/10.1109\/CVPR.2016.90","DOI":"10.1109\/CVPR.2016.90"},{"key":"7651_CR21","doi-asserted-by":"crossref","unstructured":"Huang G, Liu Z, Van Der\u00a0Maaten L, Weinberger KQ (2017) Densely connected convolutional networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 4700\u20134708. https:\/\/doi.org\/10.1109\/CVPR.1997.609286","DOI":"10.1109\/CVPR.2017.243"},{"key":"7651_CR22","doi-asserted-by":"crossref","unstructured":"Howard A, Sandler M, Chu G, Chen L-C, Chen B, Tan M, Wang W, Zhu Y, Pang R, Vasudevan V, et\u00a0al (2019) Searching for mobilenetv3. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp 1314\u20131324. https:\/\/doi.org\/10.1109\/ICCV.2019.00140","DOI":"10.1109\/ICCV.2019.00140"},{"key":"7651_CR23","unstructured":"Tan M, Le Q (2019) EfficientNet: Rethinking model scaling for convolutional neural networks. In: Proceedings of the 36th International Conference on Machine Learning. Proceedings of Machine Learning Research, vol. 97, pp 6105\u20136114"},{"key":"7651_CR24","doi-asserted-by":"crossref","unstructured":"Tan M, Chen B, Pang R, Vasudevan V, Sandler M, Howard A, Le QV (2019) Mnasnet: Platform-aware neural architecture search for mobile. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp 2820\u20132828. https:\/\/doi.org\/10.1109\/CVPR.2019.00293","DOI":"10.1109\/CVPR.2019.00293"},{"issue":"4","key":"7651_CR25","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1016\/j.sigpro.2010.08.010","volume":"91","author":"Y Pang","year":"2011","unstructured":"Pang Y, Yuan Y, Li X, Pan J (2011) Efficient hog human detection. Signal Process 91(4):773\u2013781. https:\/\/doi.org\/10.1016\/j.sigpro.2010.08.010","journal-title":"Signal Process"},{"key":"7651_CR26","doi-asserted-by":"publisher","unstructured":"Liu W, Anguelov D, Erhan D, Szegedy C, Reed S, Fu C-Y, Berg AC (2016) Ssd: Single shot multibox detector. In: European Conference on Computer Vision, pp 21\u201337. https:\/\/doi.org\/10.1007\/978-3-319-46448-0_2","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"7651_CR27","doi-asserted-by":"publisher","unstructured":"Girshick R, Donahue J, Darrell T, Malik J (2014) Rich feature hierarchies for accurate object detection and semantic segmentation. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp 580\u2013587. https:\/\/doi.org\/10.1109\/CVPR.2014.81","DOI":"10.1109\/CVPR.2014.81"},{"issue":"6","key":"7651_CR28","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2017","unstructured":"Ren S, He K, Girshick R, Sun J (2017) Faster r-cnn: towards real-time object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell 39(6):1137\u20131149. https:\/\/doi.org\/10.1109\/TPAMI.2016.2577031","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"16","key":"7651_CR29","doi-asserted-by":"publisher","first-page":"4587","DOI":"10.3390\/s20164587","volume":"20","author":"\u00c1 Morera","year":"2020","unstructured":"Morera \u00c1, S\u00e1nchez \u00c1, Moreno AB, Sappa \u00c1D, V\u00e9lez JF (2020) Ssd vs. yolo for detection of outdoor urban advertising panels under multiple variabilities. Sensors 20(16):4587. https:\/\/doi.org\/10.3390\/s20164587","journal-title":"Sensors"},{"key":"7651_CR30","doi-asserted-by":"publisher","unstructured":"Shafiee MJ, Chywl B, Li F, Wong A (2017) Fast yolo A fast you only look once system for real-time embedded object detection in video. J Comput Vis Imaging Syst https:\/\/doi.org\/10.15353\/vsnl.v3i1.171","DOI":"10.15353\/vsnl.v3i1.171"},{"key":"7651_CR31","doi-asserted-by":"publisher","unstructured":"Redmon J, Divvala S, Girshick R, Farhadi A (2016) You only look once: Unified, real-time object detection. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 779\u2013788. https:\/\/doi.org\/10.1109\/CVPR.2016.91","DOI":"10.1109\/CVPR.2016.91"},{"key":"7651_CR32","doi-asserted-by":"publisher","unstructured":"Redmon J, Farhadi A (2017) Yolo9000: Better, faster, stronger. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 6517\u20136525. https:\/\/doi.org\/10.1109\/CVPR.2017.690","DOI":"10.1109\/CVPR.2017.690"},{"key":"7651_CR33","unstructured":"Redmon J, Farhadi A (2018) Yolov3: An incremental improvement. In: 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 1\u20136"},{"key":"7651_CR34","doi-asserted-by":"crossref","unstructured":"Wang C-Y, Bochkovskiy A, Liao H-YM (2021) Scaled-YOLOv4: scaling cross stage partial network. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp 13029\u201313038","DOI":"10.1109\/CVPR46437.2021.01283"},{"key":"7651_CR35","unstructured":"Howard AG, Zhu M, Chen B, Kalenichenko D, Wang W, Weyand T, Andreetto M, Adam H (2017) Mobilenets: efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861"},{"key":"7651_CR36","doi-asserted-by":"publisher","unstructured":"Sandler M, Howard A, Zhu M, Zhmoginov A, Chen L-C (2018) Mobilenetv2: Inverted residuals and linear bottlenecks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 4510\u20134520. https:\/\/doi.org\/10.1109\/CVPR.2018.00474","DOI":"10.1109\/CVPR.2018.00474"},{"key":"7651_CR37","unstructured":"https:\/\/users.soict.hust.edu.vn\/linhdt\/dataset\/. Online, last visited (October 2021)"},{"key":"7651_CR38","unstructured":"Jiang Z, Zhao L, Li S, Jia Y (2020) Real-time object detection method based on improved yolov4-tiny. arXiv e-prints"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07651-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-07651-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07651-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T19:03:20Z","timestamp":1667847800000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-07651-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,4]]},"references-count":38,"journal-issue":{"issue":"24","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["7651"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-07651-1","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,4]]},"assertion":[{"value":"6 December 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 July 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 August 2022","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 declared that they have no conflicts of interest with regard to this work.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}]}}