{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:46:47Z","timestamp":1781110007554,"version":"3.54.1"},"reference-count":13,"publisher":"IGI Global","isbn-type":[{"value":"9781466636828","type":"print"},{"value":"9781466636835","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:p>Time series unsupervised clustering is accurate in various domains, and there is an increased interest in time series clustering algorithms for human behavior recognition. The authors have developed an algorithm for biosignals clustering, which captures the general morphology of a signal\u2019s cycles in one mean wave. In this chapter, they further validate and consolidate it and make a quantitative comparison with a state-of-the-art algorithm that uses distances between data\u2019s cepstral coefficients to cluster the same biosignals. They are able to successfully replicate the cepstral coefficients algorithm, and the comparison showed that the mean wave approach is more accurate for the type of signals analyzed, having a 19% higher accuracy value. They authors also test the mean wave algorithm with biosignals with three different activities in it, and achieve an accuracy of 96.9%. Finally, they perform a noise immunity test with a synthetic signal and notice that the algorithm remains stable for signal-to-noise ratios higher than 2, only decreasing its accuracy with noise of amplitude equal to the signal. The necessary validation tests performed in this study confirmed the high accuracy level of the developed clustering algorithm for biosignals that express human behavior.<\/jats:p>","DOI":"10.4018\/978-1-4666-3682-8.ch010","type":"book-chapter","created":{"date-parts":[[2013,2,21]],"date-time":"2013-02-21T18:40:09Z","timestamp":1361472009000},"page":"212-224","source":"Crossref","is-referenced-by-count":1,"title":["Clustering Algorithm for Human Behavior Recognition Based on Biosignal Analysis"],"prefix":"10.4018","author":[{"given":"Neuza","family":"Nunes","sequence":"first","affiliation":[{"name":"PLUX \u2013 Wireless Biosignals S.A., Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diliana","family":"Rebelo","sequence":"additional","affiliation":[{"name":"FCT-UNL, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rodolfo","family":"Abreu","sequence":"additional","affiliation":[{"name":"FCT-UNL, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hugo","family":"Gamboa","sequence":"additional","affiliation":[{"name":"FCT-UNL, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ana","family":"Fred","sequence":"additional","affiliation":[{"name":"IST-UTL, Portugal & Instituto de Telecomunica\u00e7\u00f5es, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"978-1-4666-3682-8.ch010.-1","unstructured":"AAL4ALL. (2012). Website. Retrieved February 17, 2012 from https:\/\/2.zoppoz.workers.dev:443\/http\/www.aal4all.org\/?lang=en"},{"key":"978-1-4666-3682-8.ch010.-2","unstructured":"Antoniol, G., Rollo, V., & Venturi, G. (2005). Linear predictive coding and cepstrum coefficients for mining time variant information from software repositories. In Proceedings of MSR2005: International Workshop on Mining Software Repositories. MSR."},{"key":"978-1-4666-3682-8.ch010.-3","unstructured":"Bagnal, A., & Janacek, G. (2004). Clustering time series from arma models with clipped data. In Proceedings of KDD 2004, the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Seattle, WA: ACM."},{"issue":"1","key":"978-1-4666-3682-8.ch010.-4","doi-asserted-by":"crossref","first-page":"69","DOI":"10.4310\/CIS.2005.v5.n1.a3","article-title":"Clustering time series, subspace identification and cepstral distances.","volume":"5","author":"J.Boets","year":"2005","journal-title":"Communications in Information and Systems"},{"key":"978-1-4666-3682-8.ch010.-5","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2007.06.001"},{"key":"978-1-4666-3682-8.ch010.-6","doi-asserted-by":"crossref","unstructured":"Kalpakis, K., Gada, D., & Puttagunta, V. (2001). Distance measures for accurate clustering of arima time-series. In Procedings of the 2001 IEEE International Conference on Data Mining, (pp. 273\u2013280). IEEE Press.","DOI":"10.1109\/ICDM.2001.989529"},{"key":"978-1-4666-3682-8.ch010.-7","first-page":"233","article-title":"Time series clustering algorithm for two-modes cyclic biosignals","author":"N.Nunes","year":"2012","journal-title":"Biostec 2011"},{"key":"978-1-4666-3682-8.ch010.-8","unstructured":"Physionet. (2012). PhysioBank archive index. Retrieved February 15, 2012 from https:\/\/2.zoppoz.workers.dev:443\/http\/www.physionet.org\/physiobank\/database"},{"key":"978-1-4666-3682-8.ch010.-9","unstructured":"PLUX \u2013 Wireless Biosignals. S.A. (2012). Website. Retrieved February 15, 2012 from https:\/\/2.zoppoz.workers.dev:443\/http\/www.plux.info"},{"key":"978-1-4666-3682-8.ch010.-10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2011.07.037"},{"key":"978-1-4666-3682-8.ch010.-11","unstructured":"Santos, R., Sousa, J., Sa\u00f1udo, B., Marques, C., & Gamboa, H. (2012). Biosignals events detection a morphological signal-independent approach. In Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing (BIOSIGNALS 2012). Vilamoura, Portugal: BIOSIGNALS."},{"key":"978-1-4666-3682-8.ch010.-12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.01.002"},{"key":"978-1-4666-3682-8.ch010.-13","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1977.1163004"}],"container-title":["Human Behavior Recognition Technologies"],"original-title":[],"link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.igi-global.com\/viewtitle.aspx?TitleId=75292","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,14]],"date-time":"2020-05-14T19:18:59Z","timestamp":1589483939000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/978-1-4666-3682-8.ch010"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9781466636828","9781466636835"],"references-count":13,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.4018\/978-1-4666-3682-8.ch010","relation":{},"subject":[],"published":{"date-parts":[[2013]]}}}