Research Article
Cloud-Based Data Analytics on Human Factor Measurement to Improve Safer Transport
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@INPROCEEDINGS{10.1007/978-3-319-76213-5_14, author={Mobyen Ahmed and Shahina Begum and Carlos Catalina and Lior Limonad and Bertil H\o{}k and Gianluca Flumeri}, title={Cloud-Based Data Analytics on Human Factor Measurement to Improve Safer Transport}, proceedings={Internet of Things (IoT) Technologies for HealthCare. 4th International Conference, HealthyIoT 2017, Angers, France, October 24-25, 2017, Proceedings}, proceedings_a={HEALTHYIOT}, year={2018}, month={2}, keywords={SimuSafe Safer transport Data-analysis Big data Human factor}, doi={10.1007/978-3-319-76213-5_14} }- Mobyen Ahmed
Shahina Begum
Carlos Catalina
Lior Limonad
Bertil Hök
Gianluca Flumeri
Year: 2018
Cloud-Based Data Analytics on Human Factor Measurement to Improve Safer Transport
HEALTHYIOT
Springer
DOI: 10.1007/978-3-319-76213-5_14
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.
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