{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T13:20:55Z","timestamp":1761312055948,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031610622"},{"type":"electronic","value":"9783031610639"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-61063-9_13","type":"book-chapter","created":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T01:06:11Z","timestamp":1717203971000},"page":"189-201","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Emotion Recognition in Dance: A Novel Approach Using Laban Movement Analysis and Artificial Intelligence"],"prefix":"10.1007","author":[{"given":"Hong","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenyang","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xu","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaguang","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengyi","family":"Qu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenbin","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,6,1]]},"reference":[{"issue":"1","key":"13_CR1","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1109\/TPAMI.2008.52","volume":"31","author":"Z Zeng","year":"2009","unstructured":"Zeng, Z., Pantic, M., Roisman, G.I., Huang, T.S.: A survey of affect recognition methods: audio, visual, and spontaneous expressions. IEEE Trans. Pattern Anal. Mach. Intell. 31(1), 39\u201358 (2009). https:\/\/doi.org\/10.1109\/TPAMI.2008.52","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"13_CR2","doi-asserted-by":"publisher","unstructured":"Shikanai, N., Hachimura, K.: Evaluation of impressions and movements related to negative emotional expressions in dance. In: Proceedings of the 15th International Conference on Control, Automation and Systems (ICCAS), Busan, South Korea, pp. 657\u2013660 (2015). https:\/\/doi.org\/10.1109\/ICCAS.2015.7365000","DOI":"10.1109\/ICCAS.2015.7365000"},{"key":"13_CR3","unstructured":"Von, L.R., Ullmann, L.: The Mastery of Movement. Northcote House, London, U.K. (1988)"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Chi, D., Costa, M., Zhao, L., Badler, N.: The EMOTE model for effort and shape. In: Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, pp. 173\u2013182 (2000)","DOI":"10.1145\/344779.352172"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Torresani, L., Hackney, P., Bregler, C.: Learning motion style synthesis from perceptual observations. In: Conference on Advances in Neural Information Processing Systems, pp. 1393\u20131400 (2007)","DOI":"10.7551\/mitpress\/7503.003.0179"},{"issue":"6","key":"13_CR6","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1111\/cgf.12598","volume":"34","author":"A Aristidou","year":"2015","unstructured":"Aristidou, A., Charalambous, P., Chrysanthou, Y.: Emotion analysis and classification: understanding the performers\u2019 emotions using the LMA entities. Comput. Graph. Forum 34(6), 62\u2013276 (2015)","journal-title":"Comput. Graph. Forum"},{"issue":"1","key":"13_CR7","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1145\/2983620","volume":"36","author":"F Durupinar","year":"2017","unstructured":"Durupinar, F., Kapadia, M., Deutsch, S., Neff, M., Badler, N.I.: Perform: perceptual approach for adding ocean personality to human motion using Laban movement analysis. ACM Trans. Graph. 36(1), 6\u20137 (2017)","journal-title":"ACM Trans. Graph."},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Dewan, S., Agarwal, S., Singh, N.: Spatio-temporal Laban features for dance style recognition. In: Conference on International Conference on Pattern Recognition, pp. 2911\u20132916 (2018)","DOI":"10.1109\/ICPR.2018.8545251"},{"issue":"10","key":"13_CR9","doi-asserted-by":"publisher","first-page":"1411","DOI":"10.1007\/s00371-018-01619-w","volume":"35","author":"I Ajili","year":"2019","unstructured":"Ajili, I., Mallem, M., Didier, J.-Y.: Human motions and emotions recognition inspired by LMA qualities. Vis. Comput. 35(10), 1411\u20131426 (2019). https:\/\/doi.org\/10.1007\/s00371-018-01619-w","journal-title":"Vis. Comput."},{"key":"13_CR10","unstructured":"Morita, J., Nagai, Y., Moritsu, T.: Relations between body motion and emotion: analysis based on Laban movement analysis. In: Proceedings of the Annual Meeting of the Cognitive Science Society, Berlin, Germany, pp. 1026\u20131031 (2013)"},{"key":"13_CR11","first-page":"99","volume-title":"Labanotation: The System of Analyzing and Recording Movement","author":"AH Guest","year":"2014","unstructured":"Guest, A.H.: Labanotation: The System of Analyzing and Recording Movement, 4th edn., pp. 99\u2013110. Routledge, Evanston (2014)","edition":"4"},{"issue":"6","key":"13_CR12","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1111\/cgf.12598","volume":"34","author":"A Aristidou","year":"2015","unstructured":"Aristidou, A., Charalambous, P., Chrysanthou, Y.: Emotion analysis and classification: understanding the performers\u2019 emotions using the LMA entities. Comput. Graph. Forum 34(6), 262\u2013276 (2015). https:\/\/doi.org\/10.1111\/cgf.12598","journal-title":"Comput. Graph. Forum"},{"issue":"6","key":"13_CR13","first-page":"1574","volume":"9","author":"R Bernstein","year":"2015","unstructured":"Bernstein, R., Shafir, T., Tsachor, R., Studd, K., Schuster, A.: Laban movement analysis using kinect. Int. J. Comput. Electr. Autom. Control Inf. Eng. 9(6), 1574\u20131578 (2015)","journal-title":"Int. J. Comput. Electr. Autom. Control Inf. Eng."},{"key":"13_CR14","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1016\/j.procs.2017.08.168","volume":"112","author":"I Ajili","year":"2017","unstructured":"Ajili, I., Mallem, M., Didier, J.Y.: Robust human action recognition system using Laban movement analysis. Procedia Comput. Sci. 112, 554\u2013563 (2017). https:\/\/doi.org\/10.1016\/j.procs.2017.08.168","journal-title":"Procedia Comput. Sci."},{"key":"13_CR15","doi-asserted-by":"publisher","unstructured":"Kim, W.H., Park, J.W., Lee, W.H., Chung, M.J., Lee, H.S.: LMA based emotional motion representation using RGB-D camera. In: ACM\/IEEE International Conference on Human-Robot Interaction, pp. 163\u2013164 (2013). https:\/\/doi.org\/10.1109\/HRI.2013.6483552","DOI":"10.1109\/HRI.2013.6483552"},{"key":"13_CR16","unstructured":"Grishchenko, I., Bazarevsky, V., Zanfir, A., et al.: BlazePose GHUM holistic: real-time 3D human landmarks and pose estimation. arXiv (2022)"},{"key":"13_CR17","unstructured":"Motion Captured Performances. http:\/\/dancedb.eu\/main\/performances?tdsourcetag=s_pcqq. Accessed 8 July 2019"},{"key":"13_CR18","unstructured":"Lugaresi, C., et al.: MediaPipe: a framework for building perception pipelines. http:\/\/arxiv.org\/abs\/1906.08172 (2019)"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Webb, G.I., Keogh, E., Miikkulainen, R.: Na\u00efve Bayes. Encycl. Mach. Learn. 15(1), 713\u2013714 (2010)","DOI":"10.1007\/978-0-387-30164-8_576"},{"key":"13_CR20","unstructured":"Joachims, T.: Making large-scale SVM learning practical. Technical report, no. 1998, 28 (1998)"},{"key":"13_CR21","doi-asserted-by":"crossref","unstructured":"Hosmer Jr, D.W., Lemeshow, S., Sturdivant, R.X.: Applied Logistic Regression, vol. 398. Wiley, Hoboken (2013)","DOI":"10.1002\/9781118548387"},{"issue":"3","key":"13_CR22","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/S0015-6264(76)80522-6","volume":"16","author":"GM Cramer","year":"1976","unstructured":"Cramer, G.M., Ford, R.A., Hall, R.L.: Estimation of toxic hazard\u2014a decision tree approach. Food Cosmet. Toxicol. 16(3), 255\u2013276 (1976)","journal-title":"Food Cosmet. Toxicol."},{"key":"13_CR23","doi-asserted-by":"crossref","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45, 5\u201332 (2001)","DOI":"10.1023\/A:1010933404324"}],"container-title":["Lecture Notes in Computer Science","Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-61063-9_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T01:24:20Z","timestamp":1717205060000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-61063-9_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031610622","9783031610639"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-61063-9_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 June 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Washington DC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2024.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}