Internet of Things (IoT) Technologies for HealthCare. 4th International Conference, HealthyIoT 2017, Angers, France, October 24-25, 2017, Proceedings

Research Article

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

Download
179 downloads
  • @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
Mobyen Ahmed1,*, Shahina Begum1,*, Carlos Catalina2,*, Lior Limonad3,*, Bertil Hök4,*, Gianluca Flumeri5,*
  • 1: Mälardalen University
  • 2: ITCL
  • 3: IBM Research
  • 4: Hök Instrument AB
  • 5: BrainSigns
*Contact email: mobyen.ahmed@mdh.se, shahina.begum@mdh.se, carlos.catalina@itcl.es, LIORLI@il.ibm.com, bertil.hok@hokinstrument.com, gianluca.diflumeri@brainsigns.com

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.