Support Vector Machine Based Intelligent Driver Drowsiness Monitoring System
نویسندگان
چکیده
منابع مشابه
An Intelligent Decision Support System for Driver Assistance Based on Vehicle, Driver and Road Environment Monitoring
This paper describes an intelligent decision support system, a part of the I-WAY platform, which uses internal (vehicle parameters) and external (road infrastructure messages) information to provide drivers with useful warnings about potential road hazards. One of the novel aspects of this study is that the psycho-physiological state of the driver is assessed and is taken into account in a twof...
متن کاملVision-based method for detecting driver drowsiness and distraction in driver monitoring system
Jaihie Kim Yonsei University School of Electrical and Electronic Engineering 134 Sinchon-dong, Seodaemun-gu Seoul, Seoul 120-749, Republic of Korea E-mail: [email protected] Abstract. Most driver-monitoring systems have attempted to detect either driver drowsiness or distraction, although both factors should be considered for accident prevention. Therefore, we propose a new drivermonitoring me...
متن کاملEeg-based Drowsiness Detection Using Support Vector
......................................................................................................................ii DEDICATION ................................................................................................................... v ACKNOWLEDGEMENTS .............................................................................................. vi TABLE OF CONTENTS .................
متن کاملMachine Learning Systems for Detecting Driver Drowsiness
The advance of computing technology has provided the means for building intelligent vehicle systems. Drowsy driver detection system is one of the potential applications of intelligent vehicle systems. Previous approaches to drowsiness detection primarily make pre-assumptions about the relevant behavior, focusing on blink rate, eye closure, and yawning. Here we employ machine learning to data-mi...
متن کاملAcoustic detection of apple mealiness based on support vector machine
Mealiness degrades the quality of apples and plays an important role in fruit market. Therefore, the use of reliable and rapid sensing techniques for nondestructive measurement and sorting of fruits is necessary. In this study, the potential of acoustic signals of rolling apples on an inclined plate as a new technique for nondestructive detection of Red Delicious apple mealiness was investigate...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Trends in Computer Science and Engineering
سال: 2020
ISSN: 2278-3091
DOI: 10.30534/ijatcse/2020/315942020