Open AccessA Posture Recognition System to Track Drivers’ Activities While Driving
Author(s) -
Khaled Shaaban,
Osama Halabi,
Eman Almughani
Publication year - 2021
Publication title -
international journal of traffic and transportation management
Language(s) - English
Resource type - Journals
ISSN - 2371-5782
DOI - 10.5383/jttm.03.02.004
Subject(s) - computer science , virtual reality , track (disk drive) , simulation , human–computer interaction , driving simulator , test (biology) , warning system , computer security , paleontology , telecommunications , biology , operating system
To improve traffic safety, different systems were invented to warn drivers when detecting a conflict. However, drivers may be already aware of such conflicts. In these cases, warning drivers may not effective and may lead drivers to not pay attention to warnings in the case of serious conflicts. The purpose of this study is to develop a novel posture recognition system to detect different driver activities while driving. If drivers are not braking or decelerating in the case of a conflict, they are alerted and notified about the conflict. The proposed system is based on a passive method for measuring bodypostures by using two force sensor arrays to inspect the pressure patterns exhibited in the driver’s seat and backrest. Different sensors' distributions were tested to find the most suitable distribution to improve the accuracy of the recognition. A virtual reality (VR) driving simulation was developed to test the accuracy of recognition in an immersive environment. Experiments were carried out to test the posture recognition accuracy in both realistic and VR settings. The results showed that the system could recognize different postures with high accuracy. Such a system can be used to alert drivers and disengage autonomous mode in the case of self-driving and autonomous vehicles when the situation unsafe.