| عنوان فارسی مقاله: | بررسی حرکت آهسته چشم در تشخیص خستگی راننده با روش یادگیری ماشینی |
| عنوان انگلیسی مقاله: |
Recognizing Slow Eye Movement for Driver Fatigue Detection with Machine Learning Approach |
چکیده
1.مقدمه
2. روش تحلیل کامپیوتری
3. مواد
4.نتیجه گیری
کلمات کلیدی :
[PDF]Machine Learning Systems for Detecting Driver Drowsinesspeople.sabanciuniv.edu/mcetin/publications/vural_DSPinCars07.pdfby E Vural - Cited by 23 - Related articlesMACHINE LEARNING SYSTEMS FOR DETECTING DRIVER DROWSINESS. Esra Vural∗, Müjdat ... motion was collected through automatic eye tracking and.Driver's Fatigue Detection Based on Yawning Extraction - Hindawihttps://www.hindawi.com/journals/ijvt/2014/678786/by N Alioua - 2014 - Cited by 5 - Related articlesJul 20, 2014 - In this work, we focus our attention on detecting driver's fatigue from yawning, ... [21] locate and track a driver mouth movement to monitor yawning. ... method, based on support vector machine (SVM) technique [22] developed ...Fatigue driving detection based on Haar feature and ... - Science Directwww.sciencedirect.com/science/article/pii/S100588851660050X/pdf?md5...pid...Keywords Haar feature, extreme learning machine, fatigue driving detection. 1 Introduction ... algorithm to detect human movement in his paper, and his.Machine Learning Systems for Detecting Driver Drowsiness - Springerlink.springer.com/chapter/10.1007%2F978-0-387-79582-9_8Oct 6, 2008 - Driver fatigue Drowsiness Machine learning Facial expressions Facial action unit Head movements Multinomial logistic regression Support ...