Identification of Cognitive Distraction Using Physiological Features for Adaptive Driving Safety Supporting System
المؤلفون المشاركون
Kawanaka, Haruki
Bhuiyan, Md. Shoaib
Miyaji, Masahiro
Oguri, Koji
المصدر
International Journal of Vehicular Technology
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-07-08
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
It was identified that traffic accidents relate closely to the driver’s mental and physical states immediately before the accident by our questionnaire survey.
Distraction is one of the key human factors involved in traffic accidents.
We reproduced driver’s cognitive distraction on a driving simulator by means of imposing cognitive loads such as doing arithmetic and having conversation while driving.
Visual features such as test subjects’ gaze direction, pupil diameter, and head orientation, together with heart rate from ECG, were used in this study to detect the cognitive distraction.
We improved detection accuracy obtained from earlier studies by using the AdaBoost.
This paper also suggests a multiclass identification using Error-Correcting Output Coding, which can identify the degree of cognitive load.
Finally, we verified the effectiveness of the multiclass identification by conducting a series of experiments.
All these aimed at developing a constituent technology of a driver monitoring system that is expected to create adaptive driving safety supporting system to lower the number of traffic accidents.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kawanaka, Haruki& Miyaji, Masahiro& Bhuiyan, Md. Shoaib& Oguri, Koji. 2013. Identification of Cognitive Distraction Using Physiological Features for Adaptive Driving Safety Supporting System. International Journal of Vehicular Technology،Vol. 2013, no. 2013, pp.1-18.
https://search.emarefa.net/detail/BIM-500472
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kawanaka, Haruki…[et al.]. Identification of Cognitive Distraction Using Physiological Features for Adaptive Driving Safety Supporting System. International Journal of Vehicular Technology No. 2013 (2013), pp.1-18.
https://search.emarefa.net/detail/BIM-500472
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kawanaka, Haruki& Miyaji, Masahiro& Bhuiyan, Md. Shoaib& Oguri, Koji. Identification of Cognitive Distraction Using Physiological Features for Adaptive Driving Safety Supporting System. International Journal of Vehicular Technology. 2013. Vol. 2013, no. 2013, pp.1-18.
https://search.emarefa.net/detail/BIM-500472
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-500472
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر