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

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

doi:10.1007/978-3-319-76213-5_14

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Internet of Things (IoT) Technologies for HealthCare - 4th International Conference, HealthyIoT 2017, Proceedings
Editors	Jean-Baptiste Bastel, Mobyen Uddin Ahmed, Shahina Begum
Publisher	Springer Verlag
Pages	101-106
Number of pages	6
ISBN (Print)	9783319762128
DOIs	https://doi.org/10.1007/978-3-319-76213-5_14
State	Published - 2018
Externally published	Yes
Event	4th International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2017 - Angers, France Duration: 24 Oct 2017 → 25 Oct 2017

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	225
ISSN (Print)	1867-8211

Conference

Conference	4th International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2017
Country/Territory	France
City	Angers
Period	24/10/17 → 25/10/17

Bibliographical note

Publisher Copyright:
© 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Keywords

Big data
Data-analysis
Human factor
Safer transport
SimuSafe

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1007/978-3-319-76213-5_14

Cite this

Ahmed, M. U., Begum, S., Catalina, C. A., Limonad, L., Hök, B., & Di Flumeri, G. (2018). Cloud-Based Data Analytics on Human Factor Measurement to Improve Safer Transport. In J.-B. Bastel, M. U. Ahmed, & S. Begum (Eds.), Internet of Things (IoT) Technologies for HealthCare - 4th International Conference, HealthyIoT 2017, Proceedings (pp. 101-106). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 225). Springer Verlag. https://doi.org/10.1007/978-3-319-76213-5_14

Ahmed, Mobyen Uddin ; Begum, Shahina ; Catalina, Carlos Alberto et al. / Cloud-Based Data Analytics on Human Factor Measurement to Improve Safer Transport. Internet of Things (IoT) Technologies for HealthCare - 4th International Conference, HealthyIoT 2017, Proceedings. editor / Jean-Baptiste Bastel ; Mobyen Uddin Ahmed ; Shahina Begum. Springer Verlag, 2018. pp. 101-106 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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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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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",

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doi = "10.1007/978-3-319-76213-5\_14",

language = "English",

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series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

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}

Ahmed, MU, Begum, S, Catalina, CA, Limonad, L, Hök, B & Di Flumeri, G 2018, Cloud-Based Data Analytics on Human Factor Measurement to Improve Safer Transport. in J-B Bastel, MU Ahmed & S Begum (eds), Internet of Things (IoT) Technologies for HealthCare - 4th International Conference, HealthyIoT 2017, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 225, Springer Verlag, pp. 101-106, 4th International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2017, Angers, France, 24/10/17. https://doi.org/10.1007/978-3-319-76213-5_14

Cloud-Based Data Analytics on Human Factor Measurement to Improve Safer Transport. / Ahmed, Mobyen Uddin; Begum, Shahina; Catalina, Carlos Alberto et al.
Internet of Things (IoT) Technologies for HealthCare - 4th International Conference, HealthyIoT 2017, Proceedings. ed. / Jean-Baptiste Bastel; Mobyen Uddin Ahmed; Shahina Begum. Springer Verlag, 2018. p. 101-106 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 225).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Di Flumeri, Gianluca

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AB - 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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Ahmed MU, Begum S, Catalina CA, Limonad L, Hök B, Di Flumeri G. Cloud-Based Data Analytics on Human Factor Measurement to Improve Safer Transport. In Bastel JB, Ahmed MU, Begum S, editors, Internet of Things (IoT) Technologies for HealthCare - 4th International Conference, HealthyIoT 2017, Proceedings. Springer Verlag. 2018. p. 101-106. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-76213-5_14

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this