Real-Time Drivers Fatigue Detection: Sensing, Analysis And Alarming

Davoudi, Mohsen; Davoudi, Mehdi; Pazhoohesh, Mehdi; Davoudi, Mohsen; Davoudi, Mehdi; Pazhoohesh, Mehdi

ISBN 10: 363936192X / ISBN 13: 9783639361926

Published by Vdm Verlag Dr. Müller, 2011

About this Item

108 pages. 8.66x5.91x0.25 inches. In Stock.

Seller Inventory # zk363936192X

Bibliographic Details

• Title: Real-Time Drivers Fatigue Detection: Sensing, Analysis And Alarming
• Publisher: Vdm Verlag Dr. Müller
• Publication Date: 2011
• Language: English
• ISBN 10: 363936192X
• ISBN 13: 9783639361926
• Binding: Paperback
• Condition: Brand New
• Weight: 0.17 kilograms

About this title

Synopsis

In this book, the methods of driver's fatigue detection have been studied. Furthermore, we explain the process of designing an analysis method based on fuzzy logic theory using three types of factors to detect the driver's fatigue: Driver crucial factors, Environmental factors and Conditional factors. In the proposed method using tactile and environmental sensors, the system predicts driver's fatigue before s/he falls asleep and concentrates the driver attention by alarming. This system helps the driver to keep his/her alertness during driving. An advantage of the proposed fatigue detection method is that it does not interfere with the driver's habit in vehicle control and it resumes functioning only in critical moments.

About the Author

Mohsen Davoudi has received Ph.D. degree in Electrical Engineering at Polytechnic University of Milan, Italy. Mehdi Davoudi is Ph.D. candidate in Electrical Engineering at Polytechnic University of Milan, Italy. Mehdi Pazhoohesh is M.Sc. student in Energy and Sustainability with Electrical Power Engineering at University of Southampton, UK.