Drowsiness detection by thoracic effort signal analysis in real driving environments

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/16056

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.contributor	Universitat Politècnica de Catalunya. IEB - Instrumentació Electrònica i Biomèdica
dc.contributor.author	Rodriguez Ibáñez, Noelia
dc.contributor.author	García González, Miguel Ángel
dc.contributor.author	Fernández Chimeno, Mireya
dc.contributor.author	Ramos Castro, Juan José
dc.date	2011
dc.identifier.citation	Rodriguez, N. [et al.]. Drowsiness detection by thoracic effort signal analysis in real driving environments. A: IEEE Engineering in Medicine and Biology Society. "Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society". Boston: 2011, p. 6055-6058.
dc.identifier.citation	978-1-4244-4122-8
dc.identifier.uri	http://hdl.handle.net/2117/16056
dc.language.iso	eng
dc.relation	http://cataleg.upc.edu/record=b1203541~S1*cat
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
dc.subject	Thoracic injuries
dc.subject	Sistema cardiovascular
dc.subject	Tòrax
dc.title	Drowsiness detection by thoracic effort signal analysis in real driving environments
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Detection of drowsiness while driving is a leading objective in advanced driver assistance systems. This work presents a new index to assess the alertness state of drivers based on the respiratory dynamics derived from an inductive band. More than 100 hours of driving in real environments from 13 healthy subjects were analyzed. The proposed method has a sensitivity of 93.7% and specificity of 86.3% in detecting full awake drivers while it has a sensitivity of 83.1% and specificity of 95.3% in detecting drowsy drivers. The results show that the proposed index may be promising to assess the alertness state of real drivers.
dc.description.abstract	Peer Reviewed

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