A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing

Article


Pizzamiglio, S., Naeem, U., ur Réhman, Shafiq, Sharif, M., Abdalla, H. and Turner, D. 2017. A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing. Procedia Computer Science. 113, pp. 89-96.
AuthorsPizzamiglio, S., Naeem, U., ur Réhman, Shafiq, Sharif, M., Abdalla, H. and Turner, D.
Abstract

The emergence of smart phones has had a positive impact on society as the range of features and automation has
allowed people to become more productive while they are on the move. On the contrary, the use of these devices has
also become a distraction and hindrance, especially for pedestrians who use their phones whilst walking on the streets.
This is reinforced by the fact that pedestrian injuries due to the use of mobile phones has now exceeded mobile phone
related driver injuries. This paper describes an approach that measures the different levels of distraction encountered
by pedestrians whilst they are walking. To distinguish between the distractions within the brain the proposed work
analyses data collected from mobile sensors (accelerometers for movement, mobile EEG for electroencephalogram
signals from the brain). The long-term motivation of the proposed work is to provide pedestrians with notifications as
they approach potential hazards while they walk on the street conducting multiple tasks such as using a smart phone.

JournalProcedia Computer Science
Journal citation113, pp. 89-96
ISSN1877-0509
Year2017
PublisherElsevier
Accepted author manuscript
License
CC BY-NC-ND
Publisher's version
License
CC BY-NC-ND
Digital Object Identifier (DOI)doi:10.1016/j.procs.2017.08.297
Web address (URL)https://doi.org/10.1016/j.procs.2017.08.297
Publication dates
Print19 Sep 2017
Publication process dates
Deposited08 Sep 2017
Copyright information© 2017 The authors
Additional information

Paper accepted by The 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017), Lund, Sweden: 18-20 September 2017.

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