| dc.description.abstract | Accidents on roads have been a serious issue
for decades in the world. As a solution to this issue, driver
emotion recognition has gained much attention where
the affective states of the drivers are monitored. In the
context of driver emotion recognition, both the
physiological and non-physiological signals are utilised
in identifying the emotional states of the drivers.
Among the approaches taken by researchers in
determining the driver emotional states facial emotions,
speech emotions, Galvanic Skin Response (GSR),
Electrocardiogram (ECG) signals,
Electroencephalography (EEG) signals, etc., are much
more prominent. Nevertheless, physiological signals are a
valuable asset in identifying the emotional states since
non- physiological signals such as facial emotion
recognition, that is mainly used to detect driver affective
states, can be misleading. This study aims to review the
literature related to driver emotion recognition that
aims on ensuring the safety of road users. Furthermore,
the approaches taken by the researchers in the reviewed
literature have been briefly discussed, and the challenges
to these approaches have been further discussed to
enhance the safety of road users and future research in
the paradigm of driver emotion recognition. | en_US |
