Abstract
It is important to equip future vehicles with an onboard system capable of tracking and analyzing driver state in real-Time in order to mitigate the risk of human error occurrence in manual or semi-Autonomous driving. This study aims to provide some supporting evidence for adoption of consumer grade electronic devices in driver state monitoring. The study adopted repeated measure design and was performed in high-fidelity driving simulator. Total of 39 participants of mixed age and gender have taken part in the user trials. The mobile application was developed to demonstrate how a mobile device can act as a host for a driver state monitoring system, support connectivity, synchronization, and storage of driver state related measures from multiple devices. The results of this study showed that multiple physiological measures, sourced from consumer grade electronic devices, can be used to successfully distinguish task complexities across common driving activities. For instance, galvanic skin response and some heart rate derivatives were found to be correlated to overall subjective workload ratings. Furthermore, emotions were captured and showed to be affected by extreme driving situations.
| Original language | English |
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| Title of host publication | IV 2017 - 28th IEEE Intelligent Vehicles Symposium |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1529-1534 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509048045 |
| DOIs | |
| Publication status | Published - 28 Jul 2017 |
| Externally published | Yes |
| Event | 28th IEEE Intelligent Vehicles Symposium, IV 2017 - Redondo Beach, United States Duration: 11 Jun 2017 → 14 Jun 2017 |
Publication series
| Name | IEEE Intelligent Vehicles Symposium, Proceedings |
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Conference
| Conference | 28th IEEE Intelligent Vehicles Symposium, IV 2017 |
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| Country/Territory | United States |
| City | Redondo Beach |
| Period | 11/06/17 → 14/06/17 |
Funding
*Research supported by Engineering and Physical Sciences Research Council (EPSRC) and Jaguar Land Rover (JLR) V. Melnicuk is with WMG, University of Warwick, Coventry, CV4 7AL, UK (phone: +44 24 765 28028; e-mail: [email protected]). S. Birrell is an Assistant Professor at WMG, University of Warwick, Coventry, CV4 7AL, UK (e-mail: [email protected]). ACKNOWLEDGMENT The support for this work was provided by Engineering & Physical Sciences Research Council (EPSRC) and Jaguar Land Rover (JLR).
ASJC Scopus subject areas
- Computer Science Applications
- Automotive Engineering
- Modelling and Simulation