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Cloud-based Data Analytics on Human Factor Measurement to Improve Safer Transport
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3802-4721
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1212-7637
2ITCL Polígono Industrial Villalonquéjar c/López Bravo, 70. 09001 BURGOS, Spain.
Smart Wearable and IoT Solutions, IBM Research, Haifa, Israil.
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2017 (English)In: 4th EAI International Conference on IoT Technologies for HealthCare HealthyIOT'17, 2017Conference paper, Published paper (Refereed)
Abstract [en]

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, Behavioural and Physiological 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.

Place, publisher, year, edition, pages
2017.
Keyword [en]
SimuSafe, safer transport, data-analysis, big data, human factor
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-37085OAI: oai:DiVA.org:mdh-37085DiVA: diva2:1153164
Conference
4th EAI International Conference on IoT Technologies for HealthCare HealthyIOT'17, 24 Oct 2017, Angers, France
Projects
SimuSafe : Simulator of Behavioural Aspects for Safer Transport
Available from: 2017-10-27 Created: 2017-10-27 Last updated: 2017-10-27Bibliographically approved

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Ahmed, Mobyen UddinBegum, Shahina

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