{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,20]],"date-time":"2025-07-20T03:34:33Z","timestamp":1752982473767,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,1,22]],"date-time":"2021-01-22T00:00:00Z","timestamp":1611273600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,1,22]]},"DOI":"10.1145\/3448748.3448815","type":"proceedings-article","created":{"date-parts":[[2021,3,22]],"date-time":"2021-03-22T02:07:15Z","timestamp":1616378835000},"page":"431-435","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Multi-Stream CNN-LSTM Network with Partition Strategy for Human Action Recognition"],"prefix":"10.1145","author":[{"given":"Zhuang","family":"Tianming","sequence":"first","affiliation":[{"name":"School of Information and Software Engineering, UESTC, Chengdu, China"}]},{"given":"Zhao","family":"Pengbiao","sequence":"additional","affiliation":[{"name":"School of Information and Software Engineering, UESTC, Chengdu, China"}]},{"given":"Xiao","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Information and Software Engineering, UESTC, Chengdu, China"}]},{"given":"Wang","family":"Bintao","sequence":"additional","affiliation":[{"name":"School of Information and Software Engineering, UESTC, Chengdu, China"}]}],"member":"320","published-online":{"date-parts":[[2021,3,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2002.801449"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995718"},{"key":"e_1_3_2_1_3_1","volume-title":"thesis)","author":"Varadaraju A. Thangali","year":"2013","unstructured":"A. Thangali Varadaraju, \"Exploiting phonological constraints for handshape recognition in sign language video (Ph.D. thesis)\", Boston University, MA, USA, 2013."},{"key":"e_1_3_2_1_4_1","first-page":"88","volume-title":"Proceedings of International Workshop on Human Computer Interaction (HCI)","author":"Cooper H.","year":"2007","unstructured":"H. Cooper, R. Bowden, \"Large lexicon detection of sign language\", Proceedings of International Workshop on Human Computer Interaction (HCI), Springer, Berlin, Heidelberg, Beijing, P.R. China, pp. 88--97, 2007."},{"key":"e_1_3_2_1_5_1","first-page":"3414","volume-title":"Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), IEEE","author":"Rehg J.M.","year":"2013","unstructured":"J.M. Rehg, G.D. Abowd, A. Rozga, M. Romero, M.A. Clements, S. Sclaroff, I. Essa, O.Y. Ousley, Y. Li, C. Kim, et al., \"Decoding children's social behavior\", Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Portland, Oregon, pp. 3414--3421, 2013."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.100"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2901219"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.11.113"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2900862"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/SMARTCOMP.2014.7043857"},{"key":"e_1_3_2_1_11_1","volume-title":"Yu Wang, H. Xiong, S. Argamon, X. Li, & J. Li (Eds.), Big Data Computing and Communications (pp. 115--125). Cham: Springer International Publishing.","author":"Z.","year":"2015","unstructured":"Wang, Yilei, Tang, Y., Ma, J., & Qin, Z. (2015). Gender Prediction Based on Data Streams of Smartphone Applications. In Yu Wang, H. Xiong, S. Argamon, X. Li, & J. Li (Eds.), Big Data Computing and Communications (pp. 115--125). Cham: Springer International Publishing."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2956896"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2016.2570603"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"e_1_3_2_1_15_1","volume-title":"arXiv:1503.07274","author":"Manximov","year":"2015","unstructured":"Manximov E, Srivastava N, Sakakhutdinov R. \"Initialization Strategies of Spatio-Temporal Convolutional Neural Networks\", arXiv:1503.07274, 2015."},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of IEEE International Conference on Computer Vision","author":"Tran","year":"2015","unstructured":"Tran D, Bourdev L, Fergus R, et al. \"Learning Spatiotemporal Features with 3D Convolutional Networks\", Proceedings of IEEE International Conference on Computer Vision, 2015."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_18_1","volume-title":"Proceedings of IEEE Conference on Computer Vision and Pattern Recognition","author":"Donahue","year":"2015","unstructured":"Donahue J, Hendricks L A, Guadarrama S, et al. \"Long-Term Re-current Convolutional Networks for Visual Recognition and Description\", Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2015."},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of IEEE Conference on Computer Vision and Pattern Recognition","author":"Donahue","year":"2015","unstructured":"Donahue J, Hendricks L A, Guadarrama S, et al. \"Long-Term Re-current Convolutional Networks for Visual Recognition and Description\", Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2015."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_50"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_50"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.387"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.207"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.02.030"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2896631"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"S. Yan et al. 2018. Spatial temporal graph convolutional networks for skeleton-based action recognition. In the 32nd Int. Conf AAAI. New Orleans LA USA 7444--7452. DOI= https:\/\/www.aaai.org\/ocs\/index.php\/AAAI\/AAAI18\/paper\/view\/17135.","DOI":"10.1609\/aaai.v32i1.12328"}],"event":{"name":"BIC 2021: 2021 International Conference on Bioinformatics and Intelligent Computing","sponsor":["University of Arizona University of Arizona"],"location":"Harbin China","acronym":"BIC 2021"},"container-title":["Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448748.3448815","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3448748.3448815","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:47:53Z","timestamp":1750193273000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448748.3448815"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,22]]},"references-count":26,"alternative-id":["10.1145\/3448748.3448815","10.1145\/3448748"],"URL":"https:\/\/doi.org\/10.1145\/3448748.3448815","relation":{},"subject":[],"published":{"date-parts":[[2021,1,22]]},"assertion":[{"value":"2021-03-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}