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Ecare@Home: A Distributed Research Environment on Semantic Interoperability Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Driver’s State Monitoring: A Case Study on Big Data Analytics

Authors : Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed

Published in: Internet of Things Technologies for HealthCare

Publisher: Springer International Publishing

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Abstract

Driver’s distraction, inattention, sleepiness, stress, etc. are identified as causal factors of vehicle crashes and accidents. Today, we know that physiological signals are convenient and reliable measures of driver’s impairments. Heterogeneous sensors are generating vast amount of signals, which need to be handled and analyzed in a big data scenario. Here, we propose a big data analytics approach for driver state monitoring using heterogeneous data that are coming from multiple sources, i.e., physiological signals along with vehicular data and contextual information. These data are processed and analyzed to aware impaired vehicle drivers.

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Metadata
Title
Driver’s State Monitoring: A Case Study on Big Data Analytics
Authors
Shaibal Barua
Shahina Begum
Mobyen Uddin Ahmed
Copyright Year
2016
Book
Internet of Things Technologies for HealthCare

Print ISBN: 978-3-319-51233-4

Electronic ISBN: 978-3-319-51234-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-51234-1_24

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