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Cloud-based Data Analytics on Human Factor Measurement to Improve Safer Transport

Authors:

Mobyen Uddin Ahmed, Shahina Begum, Carlos Alberto Catalina , Lior Limonad , Bertil Hök, Gianluca Di Flumeri

Research group:

Artificial Intelligence and Intelligent Systems

Publication Type:

Conference/Workshop Paper

Venue:

4th EAI International Conference on IoT Technologies for HealthCare

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, 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.

Bibtex

@inproceedings{Ahmed4878,
author = {Mobyen Uddin Ahmed and Shahina Begum and Carlos Alberto Catalina and Lior Limonad and Bertil H{\"o}k and Gianluca Di Flumeri},
title = {Cloud-based Data Analytics on Human Factor Measurement to Improve Safer Transport },
month = {November},
year = {2017},
booktitle = {4th EAI International Conference on IoT Technologies for HealthCare},
url = {http://www.es.mdu.se/publications/4878-}
}