Abstract:
In our study, we generate new rules for determining whether or not a driver is distracted, using collected data about the driver's eye movement and driving data by learni...Show MoreMetadata
Abstract:
In our study, we generate new rules for determining whether or not a driver is distracted, using collected data about the driver's eye movement and driving data by learning as a new approach to detecting distracted car drivers. We use a learning tool, namely a support vector machine (SVM), to generate the rules. In addition, we focused on a qualitative model of a driver's cognitive mental load in a prior study and investigated the relationship between this model and the driver's distraction. In the investigation, we verify driver's eye movements and driving data that are inconsistent with the model.
Published in: 2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing
Date of Conference: 18-20 August 2014
Date Added to IEEE Xplore: 16 October 2014
ISBN Information: