{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,27]],"date-time":"2025-12-27T00:55:36Z","timestamp":1766796936087,"version":"3.37.3"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"29","license":[{"start":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T00:00:00Z","timestamp":1659657600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T00:00:00Z","timestamp":1659657600000},"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":["Multimed Tools Appl"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s11042-022-13497-5","type":"journal-article","created":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T07:03:03Z","timestamp":1659682983000},"page":"42353-42369","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["HandGCNN model for gesture recognition based voice assistance"],"prefix":"10.1007","volume":"81","author":[{"given":"Rena","family":"Stellin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.","family":"Rukmani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L. Jani","family":"Anbarasi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8064-7442","authenticated-orcid":false,"given":"Sathiya","family":"Narayanan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,8,5]]},"reference":[{"key":"13497_CR1","doi-asserted-by":"publisher","unstructured":"Apoorva A, Mishra GK, Sahoo RR, Bhoi SK, Mallick C (2021) Deep learning-based ship detection in remote sensing imagery using TensorFlow. In Advances in machine learning and computational intelligence (pp 165\u2013177). Springer, Singapore. https:\/\/doi.org\/10.1007\/978-981-15-5243-4_14","DOI":"10.1007\/978-981-15-5243-4_14"},{"issue":"2","key":"13497_CR2","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1007\/s40903-016-0046-9","volume":"2","author":"H Badi","year":"2016","unstructured":"Badi H (2016) RETRACTED ARTICLE: a survey on recent vision-based gesture recognition. Intell Ind Syst 2(2):179\u2013191. https:\/\/doi.org\/10.1007\/s40903-016-0046-9","journal-title":"Intell Ind Syst"},{"key":"13497_CR3","doi-asserted-by":"publisher","unstructured":"Bhoi SK, Panda SK, Patra B, Pradhan B, Priyadarshinee P, Tripathy S, \u2026 Khilar PM (2018) FallDS-IoT: a fall detection system for elderly healthcare based on IoT data analytics. In 2018 International Conference on Information Technology (ICIT) (pp 155\u2013160). IEEE. https:\/\/doi.org\/10.1109\/ICIT.2018.00041","DOI":"10.1109\/ICIT.2018.00041"},{"key":"13497_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2021.3077967","volume":"70","author":"Y Dong","year":"2021","unstructured":"Dong Y, Liu J, Yan W (2021) Dynamic hand gesture recognition based on signals from specialized data glove and deep learning algorithms. IEEE Trans Instrum Meas 70:1\u201314. https:\/\/doi.org\/10.1109\/TIM.2021.3077967","journal-title":"IEEE Trans Instrum Meas"},{"key":"13497_CR5","doi-asserted-by":"publisher","unstructured":"Gullapalli S, Karthik P, Sathish P (2020) A comparative analysis of cloud based Watson system and CNN for gesture recognition systems. In 2020 IEEE international Students' conference on electrical, electronics and computer science (SCEECS) (pp 1\u20135). IEEE. https:\/\/doi.org\/10.1109\/SCEECS48394.2020.66","DOI":"10.1109\/SCEECS48394.2020.66"},{"key":"13497_CR6","doi-asserted-by":"crossref","unstructured":"He K, Sun J (2015) Convolutional neural networks at constrained time cost. In proceedings of the IEEE conference on computer vision and pattern recognition (pp 5353\u20135360)","DOI":"10.1109\/CVPR.2015.7299173"},{"key":"13497_CR7","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, abs\/1704.04861"},{"key":"13497_CR8","unstructured":"Jain A, Jain L, Sharma I, Chauhan A (2018) Image processing based speaking system for mute people using hand gesture. Int J Eng Sci Res Technol (IJESRT) 368\u2013374"},{"key":"13497_CR9","doi-asserted-by":"publisher","unstructured":"Jain R, Karsh RK, Barbhuiya AA (2021) Encoded motion image-based dynamic hand gesture recognition. The visual computer, 1\u201318. https:\/\/doi.org\/10.1016\/j.cag.2021.04.017","DOI":"10.1016\/j.cag.2021.04.017"},{"key":"13497_CR10","doi-asserted-by":"publisher","unstructured":"Jia Y, Shelhamer E, Donahue J, Karayev S, Long J, Girshick RB, Guadarrama S, Darrell T (2014) Caffe: convolutional architecture for fast feature embedding. Proceedings of the 22nd ACM international conference on multimedia. https:\/\/doi.org\/10.1145\/2647868.2654889","DOI":"10.1145\/2647868.2654889"},{"key":"13497_CR11","doi-asserted-by":"publisher","unstructured":"Kepuska V, Bohouta G (2018) Next-generation of virtual personal assistants (microsoft cortana, apple siri, amazon alexa and google home). In 2018 IEEE 8th annual computing and communication workshop and conference (CCWC) (pp 99\u2013103). IEEE. https:\/\/doi.org\/10.1109\/CCWC.2018.8301638","DOI":"10.1109\/CCWC.2018.8301638"},{"issue":"9","key":"13497_CR12","first-page":"338","volume":"6","author":"T Khan","year":"2015","unstructured":"Khan T, Pathan AH (2015) Hand gesture recognition based on digital image processing using MATLAB. Int J Sci Eng Res 6(9):338\u2013346","journal-title":"Int J Sci Eng Res"},{"issue":"7","key":"13497_CR13","doi-asserted-by":"publisher","first-page":"22","DOI":"10.9781\/ijimai.2019.09.002","volume":"5","author":"M Khari","year":"2019","unstructured":"Khari M, Garg AK, Crespo RG, Verd\u00fa E (2019) Gesture recognition of RGB and RGB-D static images using convolutional neural networks. Int J Interact Multim Artif Intell 5(7):22\u201327. https:\/\/doi.org\/10.9781\/ijimai.2019.09.002","journal-title":"Int J Interact Multim Artif Intell"},{"key":"13497_CR14","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1145\/3065386","volume":"60","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) ImageNet classification with deep convolutional neural networks. Commun ACM 60:84\u201390. https:\/\/doi.org\/10.1145\/3065386","journal-title":"Commun ACM"},{"key":"13497_CR15","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.cag.2021.04.017","volume":"97","author":"Y Li","year":"2021","unstructured":"Li Y, Ma D, Yu Y, Wei G, Zhou Y (2021) Compact joints encoding for skeleton-based dynamic hand gesture recognition. Comput Graph 97:191\u2013199","journal-title":"Comput Graph"},{"key":"13497_CR16","doi-asserted-by":"publisher","first-page":"68787","DOI":"10.1109\/ACCESS.2020.2986473","volume":"8","author":"G Lingyun","year":"2020","unstructured":"Lingyun G, Lin Z, Zhaokui W (2020) Hierarchical attention-based astronaut gesture recognition: a dataset and CNN model. IEEE Access 8:68787\u201368798. https:\/\/doi.org\/10.1109\/ACCESS.2020.2986473","journal-title":"IEEE Access"},{"key":"13497_CR17","doi-asserted-by":"publisher","unstructured":"Nikam AS, Ambekar AG (2016) Sign language recognition using image based hand gesture recognition techniques. In 2016 online international conference on green engineering and technologies (IC-GET) (pp 1\u20135). IEEE. https:\/\/doi.org\/10.1109\/GET.2016.7916786","DOI":"10.1109\/GET.2016.7916786"},{"issue":"8","key":"13497_CR18","doi-asserted-by":"publisher","first-page":"73","DOI":"10.3390\/jimaging6080073","volume":"6","author":"M Oudah","year":"2020","unstructured":"Oudah M, Al-Naji A, Chahl J (2020) Hand gesture recognition based on computer vision: a review of techniques. J Imaging 6(8):73. https:\/\/doi.org\/10.3390\/jimaging6080073","journal-title":"J Imaging"},{"issue":"2","key":"13497_CR19","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1109\/TIM.2015.2498560","volume":"65","author":"G Plouffe","year":"2015","unstructured":"Plouffe G, Cretu AM (2015) Static and dynamic hand gesture recognition in depth data using dynamic time warping. IEEE Trans Instrum Meas 65(2):305\u2013316. https:\/\/doi.org\/10.1109\/TIM.2015.2498560","journal-title":"IEEE Trans Instrum Meas"},{"issue":"2","key":"13497_CR20","doi-asserted-by":"publisher","first-page":"17","DOI":"10.26634\/jpr.6.2.16754","volume":"6","author":"N Poornima","year":"2019","unstructured":"Poornima N, Murugan M (2019) Improved gesture precision virtual personal assistant (IGP-VPA) system for speech impaired people. I-manager's J Pattern Recogn 6(2):17. https:\/\/doi.org\/10.26634\/jpr.6.2.16754","journal-title":"I-manager's J Pattern Recogn"},{"key":"13497_CR21","doi-asserted-by":"publisher","unstructured":"Qian Y, Dong J, Wang W, Tan T (2015) Deep learning for steganalysis via convolutional neural networks. In media watermarking, security, and forensics 2015 (Vol 9409, p 94090J). International Society for Optics and Photonics. https:\/\/doi.org\/10.1117\/12.2083479","DOI":"10.1117\/12.2083479"},{"issue":"5","key":"13497_CR22","first-page":"164","volume":"7","author":"P Rai","year":"2018","unstructured":"Rai P, Alva A, Mahale GK, Shetty JS, Manjushree AN (2018) Gesture recognition system. Int J Comput Sci Mob Comput 7(5):164\u2013175","journal-title":"Int J Comput Sci Mob Comput"},{"key":"13497_CR23","doi-asserted-by":"crossref","unstructured":"Reda MM, Mohammed NG, Seoud RAAAA (2018) SVBiComm: Sign-Voice Bidirectional Communication System for Normal, \u201cDeaf\/Dumb\u201d and Blind People based on Machine Learning. In 2018 1st International Conference on Computer Applications & Information Security (ICCAIS) (pp 1\u20138). IEEE","DOI":"10.1109\/CAIS.2018.8441985"},{"key":"13497_CR24","doi-asserted-by":"publisher","first-page":"e142","DOI":"10.7717\/peerj-cs.142","volume":"3","author":"NP Rougier","year":"2017","unstructured":"Rougier NP, Hinsen K, Alexandre F, Arildsen T, Barba LA, Benureau FC, \u2026 Zito T (2017) Sustainable computational science: the ReScience initiative. PeerJ Comput Sci 3:e142","journal-title":"PeerJ Comput Sci"},{"key":"13497_CR25","doi-asserted-by":"publisher","unstructured":"Saha HN, Tapadar S, Ray S, Chatterjee SK, Saha S (2018) A machine learning based approach for hand gesture recognition using distinctive feature extraction. In 2018 IEEE 8th annual computing and communication workshop and conference (CCWC) (pp 91\u201398). IEEE. https:\/\/doi.org\/10.1109\/CCWC.2018.8301631","DOI":"10.1109\/CCWC.2018.8301631"},{"key":"13497_CR26","doi-asserted-by":"publisher","unstructured":"Saxena A, Jain DK, Singhal A (2014) Hand gesture recognition using an android device. In 2014 fourth international conference on communication systems and network technologies (pp 819\u2013822). IEEE. https:\/\/doi.org\/10.1109\/CSNT.2014.170","DOI":"10.1109\/CSNT.2014.170"},{"issue":"9","key":"13497_CR27","first-page":"39","volume":"2","author":"SS Shinde","year":"2016","unstructured":"Shinde SS, Autee R (2016) Real time hand gesture recognition and voice conversion system for deaf and dumb person based on image processing. JournalNX 2(9):39\u201343","journal-title":"JournalNX"},{"key":"13497_CR28","unstructured":"Simonyan K, Zisserman A (2015) Very deep convolutional networks for large-scale image recognition. CoRR, abs\/1409.1556"},{"issue":"1","key":"13497_CR29","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1109\/JAS.2020.1003465","volume":"8","author":"W Zhang","year":"2020","unstructured":"Zhang W, Wang J, Lan F (2020) Dynamic hand gesture recognition based on short-term sampling neural networks. IEEE\/CAA J Autom Sin 8(1):110\u2013120. https:\/\/doi.org\/10.1109\/JAS.2020.1003465","journal-title":"IEEE\/CAA J Autom Sin"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-13497-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-022-13497-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-13497-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,26]],"date-time":"2022-11-26T22:50:21Z","timestamp":1669503021000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-022-13497-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,5]]},"references-count":29,"journal-issue":{"issue":"29","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["13497"],"URL":"https:\/\/doi.org\/10.1007\/s11042-022-13497-5","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2022,8,5]]},"assertion":[{"value":"1 April 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 September 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 July 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 August 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}