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

Autor: Bertil Hök, Gianluca Di Flumeri, Shahina Begum, Mobyen Uddin Ahmed, Lior Limonad, Carlos A. Catalina
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Internet of Things (IoT) Technologies for HealthCare
Internet of Things (IoT) Technologies for HealthCare ISBN: 9783319762128
HealthyIoT
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering-Internet of Things (IoT) Technologies for HealthCare
ISSN: 1867-8211
1867-822X
Popis: 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.
Databáze: OpenAIRE