{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T16:30:17Z","timestamp":1774369817673,"version":"3.50.1"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T00:00:00Z","timestamp":1653004800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T00:00:00Z","timestamp":1653004800000},"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":["Multimedia Systems"],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1007\/s00530-022-00951-5","type":"journal-article","created":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T22:05:52Z","timestamp":1653084352000},"page":"1779-1792","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["A convolutional neural network and classical moments-based feature fusion model for gesture recognition"],"prefix":"10.1007","volume":"28","author":[{"given":"Abul Abbas","family":"Barbhuiya","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ram Kumar","family":"Karsh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rahul","family":"Jain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,20]]},"reference":[{"key":"951_CR1","unstructured":"Robertson, S.P., Zachary, W., Black, J. B.: Cognition, Computing and Cooperation. Ablex Publishing Corporation: Norwood, New Jersey USA (1990)"},{"key":"951_CR2","doi-asserted-by":"crossref","unstructured":"Wang, C.-C., Wang, K.-C.: Hand posture recognition using adaboost with sift for human robot interaction. In: Recent Progress in Robotics: Viable Robotic Service to Human, pp. 317\u2013329. Springer, Berlin, Heidelberg (2007)","DOI":"10.1007\/978-3-540-76729-9_25"},{"issue":"1","key":"951_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10462-012-9356-9","volume":"43","author":"SS Rautaray","year":"2015","unstructured":"Rautaray, S.S., Agrawal, A.: Vision based hand gesture recognition for human computer interaction: a survey. Artif. Intell. Rev. 43(1), 1\u201354 (2015)","journal-title":"Artif. Intell. Rev."},{"key":"951_CR4","unstructured":"Birk, H., Moeslund, T. B., Madsen, C. B.: Real-time recognition of hand alphabet gestures using principal component analysis. In: Proceedings of the Scandinavian conference on image analysis, vol. 1, pp. 261\u2013268. Proceedings published by various publishers, (1997)"},{"key":"951_CR5","doi-asserted-by":"crossref","unstructured":"Vutinuntakasame, S., Jaijongrak, V.-R., Thiemjarus, S.: An assistive body sensor network glove for speech-and hearing-impaired disabilities. In: 2011 international conference on body sensor networks, pp. 7\u201312. IEEE (2011)","DOI":"10.1109\/BSN.2011.13"},{"key":"951_CR6","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.neunet.2014.09.003","volume":"61","author":"J Schmidhuber","year":"2015","unstructured":"Schmidhuber, J.: Deep learning in neural networks: an overview. Neural Netw. 61, 85\u2013117 (2015)","journal-title":"Neural Netw."},{"key":"951_CR7","doi-asserted-by":"crossref","unstructured":"Binh, N. D., Ejima, T.: Real-time hand gesture recognition using pseudo 3-D Hidden Markov Model. In: 2006 5th IEEE international conference on cognitive informatics, vol. 2, pp. 820\u2013824. IEEE (2006)","DOI":"10.1109\/COGINF.2006.365596"},{"key":"951_CR8","doi-asserted-by":"crossref","unstructured":"Aowal, M. A., Zaman, A. S., Mahbubur Rahman, S. M., Hatzinakos, D.: Static hand gesture recognition using discriminative 2D Zernike moments. In: TENCON 2014\u20132014 IEEE region 10 conference, pp. 1\u20135. IEEE (2014)","DOI":"10.1109\/TENCON.2014.7022345"},{"issue":"1","key":"951_CR9","first-page":"1","volume":"10","author":"BP Pradeep Kumar","year":"2017","unstructured":"Pradeep Kumar, B.P., Manjunatha, M.B.: A hybrid gesture recognition method for American sign language. Indian J. Sci. Technol. 10(1), 1\u201312 (2017)","journal-title":"Indian J. Sci. Technol."},{"issue":"3","key":"951_CR10","doi-asserted-by":"publisher","first-page":"166","DOI":"10.6029\/smartcr.2013.03.003","volume":"3","author":"RK Sabhara","year":"2013","unstructured":"Sabhara, R.K., Lee, C.-P., Lim, K.-M.: Comparative study of hu moments and zernike moments in object recognition. SmartCR 3(3), 166\u2013173 (2013)","journal-title":"SmartCR"},{"key":"951_CR11","unstructured":"Otiniano-Rodr\u0131guez, K.C., C\u00e1mara-Ch\u00e1vez, G., Menotti, D.: Hu and Zernike moments for sign language recognition. In: Proceedings of International Conference on Image Processing, Computer Vision, and Pattern Recognition, pp. 1\u20135 (2012)"},{"key":"951_CR12","doi-asserted-by":"crossref","unstructured":"Guo, Y., Liu, C., Gong, S.: Improved algorithm for Zernike moments. In: 2015 International Conference on Control, Automation and Information Sciences (ICCAIS), pp. 307\u2013312. IEEE (2015)","DOI":"10.1109\/ICCAIS.2015.7338682"},{"key":"951_CR13","doi-asserted-by":"crossref","unstructured":"Avraam, M.: Static gesture recognition combining graph and appearance features. Int. J. Adv. Res. Artif. Intell. (IJARAI) 3(2) (2014).","DOI":"10.14569\/IJARAI.2014.030201"},{"key":"951_CR14","doi-asserted-by":"crossref","unstructured":"Barros, P., Magg, S., Weber, C., Wermter, S.: A multichannel convolutional neural network for hand posture recognition. In: International Conference on Artificial Neural Networks, pp. 403\u2013410. Springer, Cham (2014)","DOI":"10.1007\/978-3-319-11179-7_51"},{"key":"951_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.patrec.2015.12.006","volume":"73","author":"J Sanchez-Riera","year":"2016","unstructured":"Sanchez-Riera, J., Hua, K.-L., Hsiao, Y.-S., Lim, T., Hidayati, S.C., Cheng, W.-H.: A comparative study of data fusion for RGB-D based visual recognition. Pattern Recogn. Lett. 73, 1\u20136 (2016)","journal-title":"Pattern Recogn. Lett."},{"issue":"12","key":"951_CR16","doi-asserted-by":"publisher","first-page":"3941","DOI":"10.1007\/s00521-016-2294-8","volume":"28","author":"OK Oyedotun","year":"2017","unstructured":"Oyedotun, O.K., Khashman, A.: Deep learning in vision-based static hand gesture recognition. Neural Comput. Appl. 28(12), 3941\u20133951 (2017)","journal-title":"Neural Comput. Appl."},{"key":"951_CR17","doi-asserted-by":"crossref","unstructured":"Ji, P., Wu, C., Xu, X., Song, A., Li, H.: Vision-based posture recognition using an ensemble classifier and a vote filter. In: Infrared Technology and Applications, and Robot Sensing and Advanced Control, vol. 10157, p. 101571. J. International Society for Optics and Photonics (2016)","DOI":"10.1117\/12.2246542"},{"key":"951_CR18","unstructured":"Nasr-Esfahani, E., Karimi, N., Soroushmehr, S.M., Jafari, M.H., Khorsandi, M.A., Samavi, S., Najarian, K.: Hand gesture recognition for contactless device control in operating rooms. arXiv preprint arXiv:1611.04138 (2016)"},{"key":"951_CR19","first-page":"1","volume":"1","author":"A Wadhawan","year":"2020","unstructured":"Wadhawan, A., Kumar, P.: Deep learning-based sign language recognition system for static signs. Neural Comput. Appl. 1, 1\u20132 (2020)","journal-title":"Neural Comput. Appl."},{"issue":"2","key":"951_CR20","first-page":"1","volume":"80","author":"AA Barbhuiya","year":"2020","unstructured":"Barbhuiya, A.A., Karsh, R.K., Jain, R.: CNN based feature extraction and classification for sign language. Multimedia Tools Appl. 80(2), 1\u201319 (2020)","journal-title":"Multimedia Tools Appl."},{"issue":"18","key":"951_CR21","doi-asserted-by":"publisher","first-page":"3790","DOI":"10.3390\/app9183790","volume":"9","author":"MA Rahim","year":"2019","unstructured":"Rahim, M.A., Islam, M.R., Shin, J.: Non-touch sign word recognition based on dynamic hand gesture using hybrid segmentation and CNN feature fusion. Appl. Sci. 9(18), 3790 (2019)","journal-title":"Appl. Sci."},{"key":"951_CR22","doi-asserted-by":"publisher","first-page":"748","DOI":"10.1016\/j.asoc.2018.09.010","volume":"73","author":"SF Chevtchenko","year":"2018","unstructured":"Chevtchenko, S.F., Vale, R.F., Macario, V., Cordeiro, F.R.: A convolutional neural network with feature fusion for real-time hand posture recognition. Appl. Soft Comput. 73, 748\u2013766 (2018)","journal-title":"Appl. Soft Comput."},{"issue":"9","key":"951_CR23","doi-asserted-by":"publisher","first-page":"4164","DOI":"10.3390\/app11094164","volume":"11","author":"A Mujahid","year":"2021","unstructured":"Mujahid, A., Awan, M.J., Yasin, A., Mohammed, M.A., Dama\u0161evi\u010dius, R., Maskeli\u016bnas, R., Abdulkareem, K.H.: Real-time hand gesture recognition based on deep learning YOLOv3 model. Appl. Sci. 11(9), 4164 (2021)","journal-title":"Appl. Sci."},{"key":"951_CR24","doi-asserted-by":"crossref","unstructured":"Bhaumik, G., Verma, M., Govil, M.C., Vipparthi, S.K.: HyFiNet: hybrid feature attention network for hand gesture recognition. Multimedia Tools Appl. 1\u201320 (2022)","DOI":"10.1007\/s11042-021-11623-3"},{"key":"951_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-021-02225-z","author":"G Bhaumik","year":"2021","unstructured":"Bhaumik, G., Verma, M., Govil, M.C., Vipparthi, S.K.: ExtriDeNet: an intensive feature extrication deep network for hand gesture recognition. Visual Comp. (2021). https:\/\/doi.org\/10.1007\/s00371-021-02225-z","journal-title":"Visual Comp."},{"key":"951_CR26","doi-asserted-by":"crossref","unstructured":"Bhaumik, G., Verma, M., Govil, M.C., Vipparthi, S.K.: CrossFeat: multi-scale cross feature aggregation network for hand gesture recognition. In: 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), pp. 274\u2013279. IEEE (2020)","DOI":"10.1109\/ICIIS51140.2020.9342652"},{"issue":"7\u201312","key":"951_CR27","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1016\/S0031-8914(34)80259-5","volume":"1","author":"F Zernike","year":"1934","unstructured":"Zernike, F.: Beugungstheorie des Schneidenverfahrens und seiner verbesserten Form, der Phasenkontrastmethode. Physica 1(7\u201312), 689\u2013704 (1934)","journal-title":"Physica"},{"issue":"4","key":"951_CR28","doi-asserted-by":"publisher","first-page":"496","DOI":"10.1109\/34.3913","volume":"10","author":"C-H Teh","year":"1988","unstructured":"Teh, C.-H., Chin, R.T.: On image analysis by the methods of moments. IEEE Trans. Pattern Anal. Mach. Intell. 10(4), 496\u2013513 (1988)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3\u20134","key":"951_CR29","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1561\/2000000039","volume":"7","author":"Li Deng","year":"2014","unstructured":"Deng, Li., Dong, Yu.: Deep learning: methods and applications. Found. Trends Sig. Process. 7(3\u20134), 197\u2013387 (2014)","journal-title":"Found. Trends Sig. Process."},{"issue":"7553","key":"951_CR30","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 521(7553), 436\u2013444 (2015)","journal-title":"Nature"},{"key":"951_CR31","first-page":"1097","volume":"25","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Adv. Neural. Inf. Process. Syst. 25, 1097\u20131105 (2012)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"951_CR32","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"951_CR33","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"951_CR34","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"1","key":"951_CR35","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J Mach Learn RES 15(1), 1929\u20131958 (2014)","journal-title":"J Mach Learn RES"},{"issue":"3","key":"951_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"C-C Chang","year":"2011","unstructured":"Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol (TIST) 2(3), 1\u201327 (2011)","journal-title":"ACM Trans Intell Syst Technol (TIST)"},{"key":"951_CR37","doi-asserted-by":"crossref","unstructured":"Sun, X., Chen, M., Hauptmann, A.: Action recognition via local descriptors and holistic features. In: 2009 IEEE computer society conference on computer vision and pattern recognition workshops, pp. 58\u201365. IEEE (2009)","DOI":"10.1109\/CVPRW.2009.5204255"},{"issue":"4","key":"951_CR38","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1007\/s12193-016-0229-4","volume":"10","author":"MAR Ahad","year":"2016","unstructured":"Ahad, M.A.R., Islam, M.N., Jahan, I.: Action recognition based on binary patterns of action-history and histogram of oriented gradient. J. Multimodal User Interfaces 10(4), 335\u2013344 (2016)","journal-title":"J. Multimodal User Interfaces"},{"key":"951_CR39","doi-asserted-by":"crossref","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05), vol. 1, pp. 886\u2013893. IEEE (2005)","DOI":"10.1109\/CVPR.2005.177"},{"issue":"24","key":"951_CR40","doi-asserted-by":"publisher","first-page":"2050","DOI":"10.1049\/el:20001436","volume":"36","author":"A Belouchrani","year":"2000","unstructured":"Belouchrani, A., Cichocki, A.: Robust whitening procedure in blind source separation context. Electron. Lett. 36(24), 2050\u20132051 (2000)","journal-title":"Electron. Lett."},{"key":"951_CR41","first-page":"12","volume":"15","author":"ALC Barczak","year":"2011","unstructured":"Barczak, A.L.C., Reyes, N.H., Abastillas, M., Piccio, A., Susnjak, T.: A new 2D static hand gesture colour image dataset for ASL gestures. Res Lett Inf Math 15, 12\u201320 (2011)","journal-title":"Res Lett Inf Math"},{"key":"951_CR42","doi-asserted-by":"crossref","unstructured":"Marin, G., Dominio, F., Zanuttigh, P.: Hand gesture recognition with leap motion and kinect devices. In: 2014 IEEE International Conference on Image Processing (ICIP), pp. 1565\u20131569. IEEE (2014)","DOI":"10.1109\/ICIP.2014.7025313"},{"key":"951_CR43","doi-asserted-by":"crossref","unstructured":"Nalepa, J., Grzejszczak, T., Kawulok, M.: Wrist localization in color images for hand gesture recognition. In: Man-Machine Interactions, vol 3, pp. 79\u201386. Springer, Cham (2014)","DOI":"10.1007\/978-3-319-02309-0_8"},{"key":"951_CR44","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2818\u20132826 (2016)","DOI":"10.1109\/CVPR.2016.308"},{"key":"951_CR45","unstructured":"Iandola, F. N., Han, S., Moskewicz, M. W., Ashraf, K., Dally, W. J., Keutzer, K.: SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size. arXiv preprint arXiv:1602.07360 (2016)"},{"key":"951_CR46","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Adv Neural Inf Process Syst, pp. 1097\u20131105 (2012)"},{"key":"951_CR47","first-page":"1","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar, J.: Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 7, 1\u201330 (2006)","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"951_CR48","doi-asserted-by":"publisher","first-page":"105","DOI":"10.3390\/diagnostics11010105","volume":"11","author":"M Javed Awan","year":"2021","unstructured":"Javed Awan, M., Mohd Rahim, M.S., Salim, N., Mohammed, M.A., Garcia-Zapirain, B., Abdulkareem, K.H.: Efficient detection of knee anterior cruciate ligament from magnetic resonance imaging using deep learning approach. Diagnostics 11(1), 105 (2021)","journal-title":"Diagnostics"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-022-00951-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-022-00951-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-022-00951-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T17:45:31Z","timestamp":1727286331000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-022-00951-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,20]]},"references-count":48,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,10]]}},"alternative-id":["951"],"URL":"https:\/\/doi.org\/10.1007\/s00530-022-00951-5","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,20]]},"assertion":[{"value":"19 August 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 April 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 May 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 declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}