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Wakeup: Designing Multimodal Alerts for Drowsy Drivers with SmartPhones

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Publication date27/12/2018
Host publication21st Saudi Computer Society National Computer Conference, NCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538641095
<mark>Original language</mark>English
Event21st Saudi Computer Society National Computer Conference, NCC 2018 - Riyadh, Saudi Arabia
Duration: 25/04/201826/04/2018

Conference

Conference21st Saudi Computer Society National Computer Conference, NCC 2018
Country/TerritorySaudi Arabia
CityRiyadh
Period25/04/1826/04/18

Publication series

Name21st Saudi Computer Society National Computer Conference, NCC 2018

Conference

Conference21st Saudi Computer Society National Computer Conference, NCC 2018
Country/TerritorySaudi Arabia
CityRiyadh
Period25/04/1826/04/18

Abstract

This paper aims to improve warning signals of the existing drowsiness detection systems in terms of efficiency and effectiveness. For this purpose, firstly, we exploit visual, audio and tactile modalities to discover the most suitable signal for alerting the car drivers in drowsiness detection systems. Secondly, the resultant signals are merged into various combinations to form multimodal warnings. From this, we got four different combinations. Furthermore, we have done an experimental evaluation in order to identify the most effective and efficient multimodal warnings for drowsiness detection systems. Results from our observational studies showed that the most suitable unimodal signals are as follows: (1) 40 ms on and 50 ms off the flashlight of smartphone for visual warning, (2) Apple iOS Ringtones-Alarm for the audio warning, and (3) 1 pulse in a second with 500 ms inter-stimulus interval for the vibrotactile warning. From the experimental study, we found that the most efficient and preferable warning for alerting the drowsy driver is multimodal signal consisting of visual, audio, and tactile modalities. This paper is helpful for the car industries to develop the effective warnings of drowsiness detection systems, furthermore, it helps in adopting these systems and in preventing accidents.

Bibliographic note

Publisher Copyright: © 2018 IEEE.