Next Article in Journal
The Effect of All-Terrain Vehicle Crash Location on Emergency Medical Services Time Intervals
Previous Article in Journal
ATD Biodynamics During Lateral Impact for USAF Neck Injury Criteria
Previous Article in Special Issue
Comparisons of Predictive Power for Traffic Accident Involvement; Celeration Behaviour versus Age, Sex, Ethnic Origin, and Experience
Open AccessReview

A Review on Measuring Affect with Practical Sensors to Monitor Driver Behavior

1
Electrical and Computer Engineering Department, University of Louisville, Louisville, KY 40292, USA
2
Department of Psychology, George Mason University, Fairfax, VA 22030, USA
*
Authors to whom correspondence should be addressed.
Safety 2019, 5(4), 72; https://doi.org/10.3390/safety5040072
Received: 29 August 2019 / Revised: 21 September 2019 / Accepted: 16 October 2019 / Published: 24 October 2019
(This article belongs to the Special Issue Traffic Safety and Driver Behaviour)
Using sensors to monitor signals produced by drivers is a way to help better understand how emotions contribute to unsafe driving habits. The need for intuitive machines that can interpret intentional and unintentional signals is imperative for our modern world. However, in complex human–machine work environments, many sensors will not work due to compatibility issues, noise, or practical constraints. This review focuses on practical sensors that have the potential to provide reliable monitoring and meaningful feedback to vehicle operators—such as drivers, train operators, pilots, astronauts—as well as being feasible for implementation and integration with existing work infrastructure. Such an affect-sensitive intelligent vehicle might sound an alarm if signals indicate the driver has become angry or stressed, take control of the vehicle if needed, and collaborate with other vehicles to build a stress map that improves roadway safety. Toward such vehicles, this paper provides a review of emerging sensor technologies for driver monitoring. In our research, we look at sensors used in affect detection. This insight is especially helpful for anyone challenged with accurately understanding affective information, like the autistic population. This paper also includes material on sensors and feedback for drivers from populations that may have special needs. View Full-Text
Keywords: sensors; emotion; affect; intelligent systems; driving sensors; emotion; affect; intelligent systems; driving
Show Figures

Figure 1

MDPI and ACS Style

Welch, K.C.; Harnett, C.; Lee, Y.-C. A Review on Measuring Affect with Practical Sensors to Monitor Driver Behavior. Safety 2019, 5, 72.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop