{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T20:24:33Z","timestamp":1725913473647},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319699226"},{"type":"electronic","value":"9783319699233"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-69923-3_47","type":"book-chapter","created":{"date-parts":[[2017,10,18]],"date-time":"2017-10-18T22:14:39Z","timestamp":1508364879000},"page":"439-446","source":"Crossref","is-referenced-by-count":1,"title":["Gesture Recognition Based on Deep Belief Networks"],"prefix":"10.1007","author":[{"given":"Yunqi","family":"Miao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linna","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunyu","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baochang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,20]]},"reference":[{"issue":"2","key":"47_CR1","first-page":"8","volume":"139","author":"B Bansal","year":"2016","unstructured":"Bansal, B.: Gesture recognition: a survey. Int. J. Comput. Appl. 139(2), 8\u201310 (2016)","journal-title":"Int. J. Comput. Appl."},{"issue":"1","key":"47_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10462-012-9356-9","volume":"43","author":"HS Hasan","year":"2015","unstructured":"Hasan, H.S., Kareem, S.A.: Human computer interaction for vision based hand gesture recognition: a survey. Artif. Intell. Rev. 43(1), 1\u201354 (2015)","journal-title":"Artif. Intell. Rev."},{"key":"47_CR3","doi-asserted-by":"crossref","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\u201354 (2015)","journal-title":"Artif. Intell. Rev."},{"issue":"7","key":"47_CR4","doi-asserted-by":"crossref","first-page":"1515","DOI":"10.1109\/TCSVT.2016.2540978","volume":"27","author":"B Zhang","year":"2017","unstructured":"Zhang, B., Li, Z., Perina, A., Del Bue, A., Murino, V., Liu, J.: Adaptive local movement modeling for robust object tracking. IEEE Trans. Circ. Syst. Video Technol. 27(7), 1515\u20131526 (2017)","journal-title":"IEEE Trans. Circ. Syst. Video Technol."},{"unstructured":"Song, Y., Davis, R.: Continuous body and hand gesture recognition for natural human-computer interaction. In: International Conference on Artificial Intelligence, pp. 4212\u20134216. AAAI Press (2015)","key":"47_CR5"},{"doi-asserted-by":"crossref","unstructured":"Kratz, L., Smith, M., Leem F.J.: Wiizards: 3D gesture recognition for game play input. In: Conference on Future Play, pp. 209\u2013212. ACM (2007)","key":"47_CR6","DOI":"10.1145\/1328202.1328241"},{"doi-asserted-by":"crossref","unstructured":"Molchanov, P., Gupta, S., Kim, K., et al.: Hand gesture recognition with 3D convolutional neural networks. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 1\u20137. IEEE (2015)","key":"47_CR7","DOI":"10.1109\/CVPRW.2015.7301342"},{"doi-asserted-by":"crossref","unstructured":"Molchanov, P., Yang, X., Gupta, S., et al.: Online detection and classification of dynamic hand gestures with recurrent 3D convolutional neural networks. In: Computer Vision and Pattern Recognition. IEEE (2016)","key":"47_CR8","DOI":"10.1109\/CVPR.2016.456"},{"issue":"7","key":"47_CR9","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1162\/neco.2006.18.7.1527","volume":"18","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Osindero, S., Teh, Y., et al.: A fast learning algorithm for deep belief nets. Neural Comput. 18(7), 1527\u20131554 (2006)","journal-title":"Neural Comput."},{"issue":"5786","key":"47_CR10","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504 (2006)","journal-title":"Science"},{"issue":"8","key":"47_CR11","doi-asserted-by":"crossref","first-page":"1771","DOI":"10.1162\/089976602760128018","volume":"14","author":"GE Hinton","year":"2002","unstructured":"Hinton, G.E.: Training products of experts by minimizing contrastive divergence. Neural Comput. 14(8), 1771 (2002)","journal-title":"Neural Comput."},{"key":"47_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1007\/978-3-642-33275-3_2","volume-title":"Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications","author":"A Fischer","year":"2012","unstructured":"Fischer, A., Igel, C.: An introduction to restricted Boltzmann machines. In: Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds.) CIARP 2012. LNCS, vol. 7441, pp. 14\u201336. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-33275-3_2"},{"key":"47_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1007\/978-3-319-46654-5_48","volume-title":"Biometric Recognition","author":"C Xie","year":"2016","unstructured":"Xie, C., Luan, S., Wang, H., Zhang, B.: Gesture recognition benchmark based on mobile phone. In: You, Z., Zhou, J., Wang, Y., Sun, Z., Shan, S., Zheng, W., Feng, J., Zhao, Q. (eds.) CCBR 2016. LNCS, vol. 9967, pp. 432\u2013440. Springer, Cham (2016). doi: 10.1007\/978-3-319-46654-5_48"},{"issue":"1","key":"47_CR14","first-page":"599","volume":"9","author":"GE Hinton","year":"2012","unstructured":"Hinton, G.E.: A practical guide to training restricted Boltzmann machines. Momentum 9(1), 599\u2013619 (2012)","journal-title":"Momentum"},{"key":"47_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1007\/978-3-642-35289-8_26","volume-title":"Neural Networks: Tricks of the Trade","author":"Y Bengio","year":"2012","unstructured":"Bengio, Y.: Practical recommendations for gradient-based training of deep architectures. In: Montavon, G., Orr, G.B., M\u00fcller, K.-R. (eds.) Neural Networks: Tricks of the Trade. LNCS, vol. 7700, pp. 437\u2013478. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-35289-8_26"},{"doi-asserted-by":"crossref","unstructured":"Vinyals, O., Ravuri, S.V.: Comparing multilayer perceptron to deep belief network tandem features for robust ASR. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 4596\u20134599. IEEE (2011)","key":"47_CR16","DOI":"10.1109\/ICASSP.2011.5947378"},{"key":"47_CR17","doi-asserted-by":"crossref","DOI":"10.1561\/9781601982957","volume-title":"Learning Deep Architectures for AI","author":"Y Bengio","year":"2009","unstructured":"Bengio, Y.: Learning Deep Architectures for AI. Now Publishers, Breda (2009)"},{"key":"47_CR18","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-35289-8","volume-title":"Neural Networks: Tricks of the Trade","author":"G Montavon","year":"2012","unstructured":"Montavon, G., Orr, G., Mller, K.R.: Neural Networks: Tricks of the Trade. Springer, Heidelberg (2012)"},{"key":"47_CR19","first-page":"27:1","volume":"2","author":"C-C Chang","year":"2002","unstructured":"Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2, 27:1\u201327:27 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"issue":"99","key":"47_CR20","first-page":"1","volume":"PP","author":"B Zhang","year":"2016","unstructured":"Zhang, B., Li, Z., Cao, X., et al.: Output constraint transfer for kernelized correlation filter in tracking. IEEE Trans. Syst. Man Cybern. Syst. PP(99), 1\u201311 (2016)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"issue":"10","key":"47_CR21","doi-asserted-by":"crossref","first-page":"4648","DOI":"10.1109\/TIP.2017.2718189","volume":"26","author":"B Zhang","year":"2017","unstructured":"Zhang, B., Yang, Y., Chen, C., Han, J., Shao, L.: Action recognition using 3D histograms of texture and a multi-class boosting classifier. IEEE Trans. Image Process. 26(10), 4648\u20134660 (2017)","journal-title":"IEEE Trans. Image Process."}],"container-title":["Lecture Notes in Computer Science","Biometric Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-69923-3_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T23:34:34Z","timestamp":1603150474000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-69923-3_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319699226","9783319699233"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-69923-3_47","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}