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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Cloud-Based Data Analytics on Human Factor Measurement to Improve Safer Transport
verfasst von : Mobyen Uddin Ahmed, Shahina Begum, Carlos Alberto Catalina, Lior Limonad, Bertil Hök, Gianluca Di Flumeri
Erschienen in: Internet of Things (IoT) Technologies for HealthCare
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Abstract
Improving safer transport includes individual and collective behavioural aspects and their interaction. A system that can monitor and evaluate the human cognitive and physical capacities based on human factor measurement is often beneficial to improve safety in driving condition. However, analysis and evaluation of human factor measurement i.e. demographics, behaviour and physiology in real-time is challenging. This paper presents a methodology for cloud-based data analysis, categorization and metrics correlation in real-time through a H2020 project called SimuSafe. Initial implementation of this methodology shows a step-by-step approach which can handle huge amount of data with variation and verity in the cloud.