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Advanced techniques for human activity classification

dc.contributor.advisorÁlvarez Álvarez, Juan Carlos 
dc.contributor.advisorLópez Rodríguez, Antonio Miguel 
dc.contributor.authorRuiz González, Miriam
dc.date.accessioned2012-10-24T06:56:42Z
dc.date.available2012-10-24T06:56:42Z
dc.date.issued2012-07
dc.identifier.urihttp://hdl.handle.net/10651/5399
dc.description.abstractThe purpose of this work is to find out whether a system based on a conventional Hidden Markov Model (HMM) is able to detect the action that the person is carrying out, and be able to differentiate it from other similar actions. Thus, at some point in the future, a system can be developed that checks the data read from the sensors, compares it with some different models that represent a bunch of different actions, and find out if any of them correspond to what the person is actually doing.spa
dc.language.isoeng
dc.relation.ispartofseriesMáster Universitario en Soft Computing y Análisis Inteligente de Datos
dc.rightsCC Reconocimiento - No comercial - Sin obras derivadas 3.0 España
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectImuspa
dc.subjectHmmspa
dc.subjectMarkovspa
dc.subjectMtxspa
dc.subjectWalkspa
dc.titleAdvanced techniques for human activity classificationspa
dc.typeinfo:eu-repo/semantics/masterThesis
dc.type.dcmitextspa


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CC Reconocimiento - No comercial - Sin obras derivadas 3.0 España
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