{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T20:32:58Z","timestamp":1725913978597},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319700922"},{"type":"electronic","value":"9783319700939"}],"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"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-70093-9_3","type":"book-chapter","created":{"date-parts":[[2017,10,23]],"date-time":"2017-10-23T22:48:48Z","timestamp":1508798928000},"page":"21-30","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Using Hidden Markov Model to Predict Human Actions with Swarm Intelligence"],"prefix":"10.1007","author":[{"given":"Zhicheng","family":"Lu","sequence":"first","affiliation":[]},{"given":"Yuk Ying","family":"Chung","sequence":"additional","affiliation":[]},{"given":"Henry Wing Fung","family":"Yeung","sequence":"additional","affiliation":[]},{"given":"Seid Miad","family":"Zandavi","sequence":"additional","affiliation":[]},{"given":"Weiming","family":"Zhi","sequence":"additional","affiliation":[]},{"given":"Wei-Chang","family":"Yeh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,24]]},"reference":[{"issue":"2","key":"3_CR1","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1109\/5.18626","volume":"77","author":"L Rabiner","year":"1989","unstructured":"Rabiner, L.: A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 77(2), 257\u2013286 (1989)","journal-title":"Proc. IEEE"},{"issue":"10","key":"3_CR2","doi-asserted-by":"publisher","first-page":"1039","DOI":"10.1109\/34.541414","volume":"18","author":"J Hu","year":"1996","unstructured":"Hu, J., Brown, M., Turin, W.: HMM based online handwriting recognition. IEEE Trans. Pattern Anal. Mach. Intell. 18(10), 1039\u20131045 (1996)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"3_CR3","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1080\/00401706.1991.10484833","volume":"33","author":"B Juang","year":"1991","unstructured":"Juang, B., Rabiner, L.: Hidden Markov models for speech recognition. Technometrics 33(3), 251\u2013272 (1991)","journal-title":"Technometrics"},{"unstructured":"Singh, B., Kapur, N., Kaur, P.: Speech recognition with hidden Markov model a review. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 2(3) (2012)","key":"3_CR4"},{"unstructured":"Shi, Y.: Particle swarm optimization: development, applications and resources. In: 2001 Congress on Evolutionary Computation, Seoul, South Korea (2001)","key":"3_CR5"},{"issue":"1","key":"3_CR6","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/S0303-2647(03)00131-X","volume":"72","author":"T Ramussen","year":"2003","unstructured":"Ramussen, T., Krink, T.: Improved hidden Markov model training for multiple sequence alignment by a particle swarm optimization - evolutionary algorithm hybrid. Biosystems 72(1), 5\u201317 (2003)","journal-title":"Biosystems"},{"doi-asserted-by":"crossref","unstructured":"Xue, L., Yin, J., Ji, Z., Jiang, L.: A particle swarm optimization for hidden Markov model training. In: 2006 8th International Conference on Signal Processing, Beijing, China (2006)","key":"3_CR7","DOI":"10.1109\/ICOSP.2006.345542"},{"issue":"2","key":"3_CR8","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1007\/s10852-005-9037-7","volume":"6","author":"S Aupetit","year":"2007","unstructured":"Aupetit, S., Monmarche, N., Slimane, M.: Hidden Markov models training by a particle swarm optimization algorithm. J. Math. Model. Algorithms 6(2), 175\u2013193 (2007)","journal-title":"J. Math. Model. Algorithms"},{"issue":"1","key":"3_CR9","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.ins.2010.11.014","volume":"182","author":"J Sun","year":"2012","unstructured":"Sun, J., Wu, X., Fang, W., Ding, Y., Long, H., Xu, W.: Multiple sequence alignment using the hidden Markov model trained by an improved quantum-behaved particles swarm optimization. Inf. Sci. 182(1), 93\u2013114 (2012)","journal-title":"Inf. Sci."},{"issue":"1","key":"3_CR10","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/MASSP.1986.1165342","volume":"3","author":"L Rabiner","year":"1986","unstructured":"Rabiner, L., Juang, B.: An introduction to hidden Markov models. IEEE ASSP Mag. 3(1), 4\u201316 (1986)","journal-title":"IEEE ASSP Mag."},{"unstructured":"Kohlschein, C.: An introduction to hidden Markov models. In: Probability and Randomization in Computer Science Seminar in Winter Semester, vol. 2007 (2006)","key":"3_CR11"},{"unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: IEEE International Conference on Neural Networks, Perth, Australia, vol. IV, pp. 1942\u20131948 (1995)","key":"3_CR12"},{"issue":"1","key":"3_CR13","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s11721-007-0002-0","volume":"1","author":"R Poli","year":"2007","unstructured":"Poli, R., Kennedy, J., Blackwell, T.: Particle swarm optimization. Swarm Intell. 1(1), 33\u201357 (2007)","journal-title":"Swarm Intell."},{"issue":"6","key":"3_CR14","first-page":"4391","volume":"8","author":"C Bae","year":"2012","unstructured":"Bae, C., Yeh, W.C., Wahid, Y.Y., Chung, Y.Y., Liu, Y.: A new simplified swarm optimization (SSO) using exchange local search scheme. Int. J. Innov. Comput. Inf. Control 8(6), 4391\u20134406 (2012)","journal-title":"Int. J. Innov. Comput. Inf. Control"},{"issue":"2","key":"3_CR15","doi-asserted-by":"publisher","first-page":"151","DOI":"10.4218\/etrij.17.0116.0584","volume":"39","author":"K Kang","year":"2017","unstructured":"Kang, K., Bae, C., Moon, J., Park, J., Chung, Y.Y., Sha, F., Zhao, X.: Invariant-feature based object tracking using discrete dynamic swarm optimization. ETRI J. 39(2), 151\u2013162 (2017)","journal-title":"ETRI J."},{"doi-asserted-by":"crossref","unstructured":"Tenorth, M., Bandouch, J., Beetz, M.: The TUM kitchen data set for everyday manipulation activities for motion tracking and action recognition. In: IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops), Kyoto, Japan (2009)","key":"3_CR16","DOI":"10.1109\/ICCVW.2009.5457583"},{"unstructured":"Anguita, D., Ghio, A., Oneto, L., Parra, X., Reyes-Ortiz, J.L.: A public domain dataset for human activity recognition using smartphones. In: ESANN (2013)","key":"3_CR17"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-70093-9_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T16:19:37Z","timestamp":1710346777000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-70093-9_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319700922","9783319700939"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-70093-9_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"24 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","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":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 November 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iconip2017.org\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}