{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T17:40:05Z","timestamp":1750786805724,"version":"3.41.0"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319643663"},{"type":"electronic","value":"9783319643670"}],"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":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-64367-0_32","type":"book-chapter","created":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T09:23:31Z","timestamp":1500629011000},"page":"446-451","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["MVSC-Bench: A Tool to Benchmark Classification Methods for Multivariate Spatiotemporal Data"],"prefix":"10.1007","author":[{"given":"Siddhant","family":"Kulkarni","sequence":"first","affiliation":[]},{"given":"Farnoush","family":"Banaei-Kashani","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,7,22]]},"reference":[{"issue":"11\u201312","key":"32_CR1","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1016\/j.ijleo.2015.02.043","volume":"126","author":"JL Raheja","year":"2015","unstructured":"Raheja, J.L., Minhas, M., Prashanth, D., Shah, T., Chaudhary, A.: Robust gesture recognition using Kinect: a comparison between DTW and HMM. Optik Int. J. Light Electron Optics 126(11\u201312), 1098\u20131104 (2015)","journal-title":"Optik Int. J. Light Electron Optics"},{"key":"32_CR2","doi-asserted-by":"crossref","unstructured":"Kashani, F.B., Medioni, G., Nguyen, K., Nocera, L., Shahabi, C., Wang, R., Blanco, C.E., Chen, Y.-A., Chung, Y.-C., Fisher, B., Mulroy, S., Requejo, P., Winstein, C.: Monitoring mobility disorders at home using 3D visual sensors and mobile sensors. In: Proceedings of the 4th Conference on Wireless Health (WH 2013). ACM, New York (2013)","DOI":"10.1145\/2534088.2534097"},{"key":"32_CR3","volume-title":"Biometric Authentication, BIOMET 2014","author":"E Gianaria","year":"2014","unstructured":"Gianaria, E., Grangetto, M., Lucenteforte, M., Balossino, N.: Human classification using gait features. In: Cantoni, V., Dimov, D., Tistarelli, M. (eds.) Biometric Authentication, BIOMET 2014, vol. 8897. Springer, Cham (2014)"},{"key":"32_CR4","doi-asserted-by":"crossref","unstructured":"Sinha, A., Chakravarty, K.: Pose based person identification using kinect. In: 2013 IEEE International Conference on Systems, Man, and Cybernetics, Manchester, pp. 497\u2013503 (2013)","DOI":"10.1109\/SMC.2013.91"},{"key":"32_CR5","doi-asserted-by":"crossref","unstructured":"Araujo, R.M., Gra\u00f1a, G., Andersson, V.: Towards skeleton biometric identification using the microsoft kinect sensor. In: Proceedings of the 28th Annual ACM Symposium on Applied Computing (SAC 2013). ACM, New York, pp. 21\u201326 (2013)","DOI":"10.1145\/2480362.2480369"},{"key":"32_CR6","doi-asserted-by":"crossref","unstructured":"Andersson, V.O., Araujo, R.M.: Person identification using anthropometric and gait data from kinect sensor. In: Proceedings of the 29th AAAI Conference (2015)","DOI":"10.1609\/aaai.v29i1.9212"},{"key":"32_CR7","unstructured":"Ramos, J.: Using TF-IDF to Determine Word Relevance in Document Queries (1999)"},{"key":"32_CR8","doi-asserted-by":"crossref","unstructured":"Pettersen, S.A., Johansen, D., Johansen, H., Berg-Johansen, V., Gaddam, V.R., Mortensen, A., Langseth, R., Griwodz, C., Stensland, H.K., Halvorsen, P.: Soccer video and player position dataset. In: Proceedings of the 5th ACM Multimedia Systems Conference (MMSys 2014). ACM, New York, pp. 18\u201323 (2014)","DOI":"10.1145\/2557642.2563677"},{"issue":"8","key":"32_CR9","doi-asserted-by":"publisher","first-page":"1905","DOI":"10.1109\/TIP.2009.2020535","volume":"18","author":"S Yu","year":"2009","unstructured":"Yu, S., Tan, T., Huang, K., Jia, K., Wu, X.: A study on gait-based gender classification. IEEE Trans. Image Process. 18(8), 1905\u20131910 (2009)","journal-title":"IEEE Trans. Image Process."},{"key":"32_CR10","doi-asserted-by":"crossref","unstructured":"Morse, M.D., Patel, J.M.: An efficient and accurate method for evaluating time series similarity. In: Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data (SIGMOD 2007). ACM, New York, pp. 569\u2013580 (2007)","DOI":"10.1145\/1247480.1247544"},{"key":"32_CR11","doi-asserted-by":"crossref","unstructured":"Han, J., Dong, G., Yin, Y.: Efficient mining of partial periodic patterns in time series database. In: Proceedings 15th International Conference on Data Engineering (Cat. No. 99CB36337), Sydney, NSW, pp. 106\u2013115 (1999)","DOI":"10.1109\/ICDE.1999.754913"},{"key":"32_CR12","unstructured":"Kulkarni, S.: siddhantkulkarni\/MVSClassification. GitHub (2017). https:\/\/github.com\/siddhantkulkarni\/MVSClassification. Accessed 26 Mar 2017"}],"container-title":["Lecture Notes in Computer Science","Advances in Spatial and Temporal Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-64367-0_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T17:04:58Z","timestamp":1750784698000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-64367-0_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319643663","9783319643670"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-64367-0_32","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":"22 July 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SSTD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Spatial and Temporal Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Arlington","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":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 August 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 August 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ssd2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sstd2017.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}