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dc.contributor.advisorGutierrez, Jose Luis
dc.contributor.authorMurgoitio, Jesus
dc.date.accessioned2016-03-29T10:18:43Z
dc.date.available2016-03-29T10:18:43Z
dc.date.issued2015-10
dc.identifier.urihttp://hdl.handle.net/11556/165
dc.description.abstractThis doctoral thesis makes an in-depth analysis of HRV (Heart Rate Variability) as calculated from an ECG (Electro Cardio Gram) and how it varies related to the attention span shown by individuals when driving land vehicles. The aim is to use this knowledge in applications where this attention span needs to be estimated, and to focus primarily on measuring the influence that the new HMIs (Human Machine Interfaces) being tried out in the latest generation of vehicles may have on road safety. More specifically, the thesis concentrates on the identification of those parameters which best relate to variability due to personal characteristics such as age, temporary features such as circadian cycles, or the surrounding environment as in road category, in order to integrate all of these features into a complete system. It is this integrating feature which is most lacking in the literature, indeed it is almost non-existent, so that the present work seeks to achieve the most universal classification criteria. This is essential for its use in applications such as vehicle driving, which require a constant state of alert. To this end, an application has been developed which allows patterns to be generated according to a system of four standard variables derived from the HRV, allowing different ways of interacting with on-road vehicles to be compared and assessed. Finally, a further point of note is that the analysis contained in this thesis may be extended to other fields (e.g. risky activities or environments) where it is useful or indeed necessary to take a relative measurement of attention span rather than follow a simple patterns, as understood by the Kahneman model.en
dc.description.abstracten
dc.language.isospaen
dc.publisherUniversidad de Deustoen
dc.titleNUEVO MÉTODO BASADO EN EL HRV PARA LA EVALUACIÓN DE HMIs Y SISTEMAS ITS PARA TRANSPORTE POR CARRETERA INTEGRANDO FACTORES PERSONALES, TEMPORALES Y AMBIENTALESen
dc.typedoctoral thesisen
dc.rights.accessRightsembargoed accessen
dc.subject.keywordsHeart Rate Variabilityen
dc.subject.keywordsIntelligent Transport Systemsen
dc.subject.keywordsHuman Machine Interfaceen
dc.subject.keywordsRoad Transporten
dc.subject.keywordsArtificial Intelligenceen
dc.subject.keywordsData Miningen
dc.subject.keywordsBig Data


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