Home // ACHI 2020, The Thirteenth International Conference on Advances in Computer-Human Interactions // View article
Authors:
Tomoji Toriyama
Akira Urashima
Keywords: Cognitive dysfunction; Wearable Sensor; Safety Checking Action; Driving Skill.
Abstract:
Many elderly people have a high probability to become patients with cognitive dysfunction. They could show symptoms of attention disorder as well as execute function disorder. These symptoms may cause unsafe driving in their daily lives. The degree of these symptoms can be evaluated through neuropsychological examination. However, the correspondence relationship between these symptoms and unsafe driving is uncertain. To address this challenge, we are developing an unsafe-driving detection system, which requires a few small wireless sensors to be attached to a driver and a steering wheel. Because many patients with cognitive dysfunction show symptoms of attention disorder, it is generally assumed that they tend to be careless with safety checking actions. Based on this assumption, we analyzed driver’s checking actions at intersections. In our experiments, 14 patients with cognitive dysfunction and 13 adults without cognitive dysfunction were evaluated while driving a real car. Video analysis of the experiment focused on left turn collision checking and left-right safety checking. Some results of the analysis indicate that the number of safety checking actions performed by patients with cognitive dysfunction is confirmed to be significantly lower than those by adults without cognitive dysfunction. Using the result of this analysis, we decided to use a sensor-based safety-checking action detection method based on calculations from wireless sensors. With this method, all safety checking actions at left-turn intersections were calculated. While the threshold value was decided between -37.5 to -27.5 degrees, some relationships regarding safety-checking between the patients with cognitive dysfunction and the adults without cognitive dysfunction are found using the chi-square test. The interactive evaluation system of safety-checking actions in intersections which enables the feedback for drivers can be constructed using the proposed sensors and evaluation method.
Pages: 229 to 234
Copyright: Copyright (c) IARIA, 2020
Publication date: March 22, 2020
Published in: conference
ISSN: 2308-4138
ISBN: 978-1-61208-761-0
Location: Valencia, Spain
Dates: from November 21, 2020 to November 25, 2020