计算机科学
判别式
任务(项目管理)
模式
驾驶模拟器
人工智能
主管(地质)
人机交互
计算机视觉
模拟
工程类
社会科学
地貌学
地质学
社会学
系统工程
作者
Sujitha Martin,Akshay Rangesh,Eshed Ohn-Bar,Mohan Manubhai Trivedi
出处
期刊:
日期:2016-12-01
卷期号:: 2783-2788
被引量:2
标识
DOI:10.1109/icpr.2016.7900057
摘要
Drivers use some combination of head, eye and hand movements to perform varying number of tasks from driving related to non-driving secondary tasks. Furthermore, the combinations may vary depending on the task performed. It is important to model and understand these variations in order to build predictive systems, explore driving styles, detect activities, etc. This study, therefore, introduces a framework to model the spatio-temporal movements of head, eyes and hands given naturalistic driving data of looking-in at the driver for any events or tasks performed of interest. As a use case, we explore the temporal coordination of the modalities on data of drivers executing maneuvers at stop-controlled intersections; the maneuvers executed are go straight, turn left and turn right. In sequentially increasing time windows, by training classifiers which have the ability to provide discriminative quality of its input variable, the experimental study at intersections shows which type of, when and how long distinguishable preparatory movements occur in the range of a few milliseconds to a few seconds.
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