{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T16:57:38Z","timestamp":1751475458091},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030314552"},{"type":"electronic","value":"9783030314569"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-31456-9_10","type":"book-chapter","created":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T23:05:35Z","timestamp":1570230335000},"page":"84-93","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Global and Local Spatial-Attention Network for Isolated Gesture Recognition"],"prefix":"10.1007","author":[{"given":"Qi","family":"Yuan","sequence":"first","affiliation":[]},{"given":"Jun","family":"Wan","sequence":"additional","affiliation":[]},{"given":"Chi","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Yunan","family":"Li","sequence":"additional","affiliation":[]},{"given":"Qiguang","family":"Miao","sequence":"additional","affiliation":[]},{"given":"Stan Z.","family":"Li","sequence":"additional","affiliation":[]},{"given":"Lihua","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yunxiang","family":"Lu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,5]]},"reference":[{"issue":"1","key":"10_CR1","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":"10_CR2","doi-asserted-by":"crossref","unstructured":"Wan, J., Zhao, Y., Zhou, S., Guyon, I., Escalera, S., Li, S.Z.: ChaLearn looking at people RGB-D isolated and continuous datasets for gesture recognition. In: CVPRW, pp. 56\u201364 (2016)","DOI":"10.1109\/CVPRW.2016.100"},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Miao, Q., et al.: Multimodal gesture recognition based on the ResC3D network. In: ICCVW, pp. 3047\u20133055 (2017)","DOI":"10.1109\/ICCVW.2017.360"},{"key":"10_CR4","unstructured":"Duan, J., Wan, J., Zhou, S., Guo, X., Li, S.: A unified framework for multi-modal isolated gesture recognition. TOMM 9(4) (2017)"},{"key":"10_CR5","unstructured":"Li, Y., et al.: Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model. In: ICPR, pp. 25\u201330. IEEE (2016)"},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"Li, Y., et al.: Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model PRL (2017)","DOI":"10.1109\/TCSVT.2017.2749509"},{"key":"10_CR7","first-page":"2956","volume":"28","author":"Y Li","year":"2017","unstructured":"Li, Y., et al.: Large-scale gesture recognition with a fusion of RGB-D data based on saliency theory and C3D model. TCSVT 28, 2956\u20132964 (2017)","journal-title":"TCSVT"},{"key":"10_CR8","doi-asserted-by":"crossref","unstructured":"Kuehne, H., Jhuang, H., Garrote, E., Poggio, T., Serre, T.: HMDB: a large video database for human motion recognition. In: ICCV, pp. 2556\u20132563. IEEE (2011)","DOI":"10.1109\/ICCV.2011.6126543"},{"key":"10_CR9","unstructured":"Soomro, K., Zamir, A.R., Shah, M.: Ucf101: a dataset of 101 human actions classes from videos in the wild arXiv preprint \n                      arXiv:1212.0402\n                      \n                     (2012)"},{"key":"10_CR10","unstructured":"Kay, W., et al.: The kinetics human action video dataset arXiv preprint \n                      arXiv:1705.06950\n                      \n                     (2017)"},{"key":"10_CR11","doi-asserted-by":"crossref","unstructured":"Wang, P., Li, W., Liu, S., Gao, Z., Tang, C., Ogunbona, P.: Large-scale isolated gesture recognition using convolutional neural networks. In: ICPR, pp. 7\u201312. IEEE (2016)","DOI":"10.1109\/ICPR.2016.7899599"},{"issue":"4","key":"10_CR12","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1109\/TPAMI.2016.2558148","volume":"39","author":"B Fernando","year":"2017","unstructured":"Fernando, B., Gavves, E., Oramas, J., Ghodrati, A., Tuytelaars, T.: Rank pooling for action recognition. TPAMI 39(4), 773\u2013787 (2017)","journal-title":"TPAMI"},{"key":"10_CR13","doi-asserted-by":"crossref","unstructured":"Chai, X., Liu, Z., Yin, F., Liu, Z., Chen, X.: Two streams recurrent neural networks for large-scale continuous gesture recognition. In: ICPR, pp. 31\u201336. IEEE (2016)","DOI":"10.1109\/ICPR.2016.7899603"},{"key":"10_CR14","doi-asserted-by":"crossref","unstructured":"Kopuklu, O., Kose, N., Rigoll, G.: Motion fused frames: data level fusion strategy for hand gesture recognition. In: CVPR, pp. 2103\u20132111 (2018)","DOI":"10.1109\/CVPRW.2018.00284"},{"key":"10_CR15","doi-asserted-by":"crossref","unstructured":"Tran, D., Bourdev, L., Fergus, R., Torresani, L., Paluri, M.: Learning spatiotemporal features with 3D convolutional networks. In: ICCV, pp. 4489\u20134497 (2015)","DOI":"10.1109\/ICCV.2015.510"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Zhu, G., Zhang, L., Mei, L., Shao, J., Song, J., Shen, P.: Large-scale isolated gesture recognition using pyramidal 3D convolutional networks. In: ICPR, pp. 19\u201324. IEEE (2016)","DOI":"10.1109\/ICPR.2016.7899601"},{"key":"10_CR18","unstructured":"Tran, D., Ray, J., Shou, Z., Chang, S.F., Paluri, M.: ConvNet architecture search for spatiotemporal feature learning arXiv preprint \n                      arXiv:1708.05038\n                      \n                     (2017)"},{"key":"10_CR19","doi-asserted-by":"crossref","unstructured":"Wei, S.E., Ramakrishna, V., Kanade, T., Sheikh, Y.: Convolutional pose machines. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.511"},{"key":"10_CR20","doi-asserted-by":"crossref","unstructured":"Lin, C., Wan, J., Liang, Y., Li, S.Z.: Large-scale isolated gesture recognition using masked Res-C3D network and skeleton LSTM. In: FG (2018)","DOI":"10.1109\/FG.2018.00018"},{"key":"10_CR21","unstructured":"Paszke, A., et al.: Automatic differentiation in pytorch (2017)"},{"key":"10_CR22","doi-asserted-by":"publisher","first-page":"4517","DOI":"10.1109\/ACCESS.2017.2684186","volume":"5","author":"G Zhu","year":"2017","unstructured":"Zhu, G., Zhang, L., Shen, P., Song, J.: Multimodal gesture recognition using 3D convolution and convolutional LSTM. IEEE Access 5, 4517\u20134524 (2017)","journal-title":"IEEE Access"},{"key":"10_CR23","doi-asserted-by":"crossref","unstructured":"Wang, H., Wang, P., Song, Z., Li, W.: Large-scale multimodal gesture recognition using heterogeneous networks. In: ICCVW, pp. 3129\u20133137 (2017)","DOI":"10.1109\/ICCVW.2017.370"},{"key":"10_CR24","doi-asserted-by":"crossref","unstructured":"Zhang, L., Zhu, G., Shen, P., Song, J., Shah, S.A., Bennamoun, M.: Learning spatiotemporal features using 3DCNN and convolutional LSTM for gesture recognition. In: ICCV, pp. 3120\u20133128 (2017)","DOI":"10.1109\/ICCVW.2017.369"}],"container-title":["Lecture Notes in Computer Science","Biometric Recognition"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-31456-9_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T23:06:43Z","timestamp":1570230403000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-31456-9_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030314552","9783030314569"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-31456-9_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"5 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCBR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Biometric Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhuzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccbr2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ccbr99.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}