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Distributed Multivariate Physiological Signal Analytics for Driver´s Mental State Monitoring
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: 0000-0003-3802-4721
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-1212-7637
2018 (engelsk)Inngår i: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 225, 2018, s. 26-33Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper presents a distributed data analytics approach for drivers’ mental state monitoring using multivariate physiological signals. Driver’s mental states such as cognitive distraction, sleepiness, stress, etc. can be fatal contributing factors and to prevent car crashes these factors need to be understood. Here, a cloud-based approach with heterogeneous sensor sources that generates extremely large data sets of physiological signals need to be handled and analyzed in a big data scenario. In the proposed physiological big data analytics approach, for driver state monitoring, heterogeneous data coming from multiple sources i.e., multivariate physiological signals are used, processed and analyzed to aware impaired vehicle drivers. Here, in a distributed big data environment, multi-agent case-based reasoning facilitates parallel case similarity matching and handles data that are coming from single and multiple physiological signal sources.

sted, utgiver, år, opplag, sider
2018. s. 26-33
Emneord [en]
Physiological signals, distributed analytics, case-based reasoning
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-37076DOI: 10.1007/978-3-319-76213-5_4ISI: 000476922000004Scopus ID: 2-s2.0-85042522774ISBN: 9783319762128 (tryckt)OAI: oai:DiVA.org:mdh-37076DiVA, id: diva2:1153822
Konferanse
4th EAI International Conference on IoT Technologies for HealthCare HealthyIOT'17, 24 Oct 2017, Angers, France
Prosjekter
VDM - Vehicle Driver MonitoringTilgjengelig fra: 2017-10-31 Laget: 2017-10-31 Sist oppdatert: 2019-08-08bibliografisk kontrollert

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