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Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-1547-4386
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-7305-7169
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-1212-7637
2015 (engelsk)Inngår i: IEEE 18th International Conference on Intelligent Transportation Systems ITSC2015, Canary Islands, Spain, 2015, s. 2637-2642Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Recently, there has been increasing interest in low-cost, non-contact and pervasive methods for monitoring physiological information for the drivers. For the intelligent driver monitoring system there has been so many approaches like facial expression based method, driving behavior based method and physiological parameters based method. Physiological parameters such as, heart rate (HR), heart rate variability (HRV), respiration rate (RR) etc. are mainly used to monitor physical and mental state. Also, in recent decades, there has been increasing interest in low-cost, non-contact and pervasive methods for measuring physiological information. Monitoring physiological parameters based on camera images is such kind of expected methods that could offer a new paradigm for driver’s health monitoring. In this paper, we review the latest developments in using camera images for non-contact physiological parameters that provides a resource for researchers and developers working in the area.

sted, utgiver, år, opplag, sider
Canary Islands, Spain, 2015. s. 2637-2642
Emneord [en]
Driver monitoringPhysiological signals Camera
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-29234DOI: 10.1109/ITSC.2015.424ISI: 000376668802114Scopus ID: 2-s2.0-84950298205OAI: oai:DiVA.org:mdh-29234DiVA, id: diva2:859282
Konferanse
IEEE 18th International Conference on Intelligent Transportation Systems ITSC2015, 15-18 Sep 2015, Canary Islands, Spain
Prosjekter
SafeDriver: A Real Time Driver's State Monitoring and Prediction SystemTilgjengelig fra: 2015-10-06 Laget: 2015-09-29 Sist oppdatert: 2017-10-25bibliografisk kontrollert

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