@inproceedings{99b7482f53334d70b93da21faaff7156,
title = "Cloud-Based Data Analytics on Human Factor Measurement to Improve Safer Transport",
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.",
keywords = "Big data, Data-analysis, Human factor, Safer transport, SimuSafe",
author = "Ahmed, {Mobyen Uddin} and Shahina Begum and Catalina, {Carlos Alberto} and Lior Limonad and Bertil H{\"o}k and {Di Flumeri}, Gianluca",
note = "Publisher Copyright: {\textcopyright} 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 4th International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2017 ; Conference date: 24-10-2017 Through 25-10-2017",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-319-76213-5_14",
language = "English",
isbn = "9783319762128",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "101--106",
editor = "Jean-Baptiste Bastel and Ahmed, {Mobyen Uddin} and Shahina Begum",
booktitle = "Internet of Things (IoT) Technologies for HealthCare - 4th International Conference, HealthyIoT 2017, Proceedings",
address = "Germany",
}