Volume 9, Issue 1 (5-2023)                   mmr 2023, 9(1): 200-221 | Back to browse issues page

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Nasiri A, Davoudi M, Shahmansoorian A. Design and Prototyping of the Driver Fatigue Detection System Based on Fuzzy Analysis of the Environmental Sensors Data. mmr 2023; 9 (1) :200-221
URL: http://mmr.khu.ac.ir/article-1-2947-en.html
1- IKIU
2- IKIU , shahmansoorian@eng.ikiu.ac.ir
Abstract:   (837 Views)
In this paper, a system for detecting sleep deprivation of the driver was designed and constructed. Designed system is different from the systems that were previously implemented. There are many environmental factors that affect driver sleepiness, which can prevent driver sleepiness by measuring them and analyzing data. In this system, the relevant sensors are used to measure environmental parameters. An alert system is also used as a system output to alert the driver and his relatives if he / she detects a driver's sleep hazard before he / she is completely sleep-infected. In this method, fuzzy analysis is used to analyze the data obtained from environmental sensors. . The system is made up of sensors that minimize contact with the driver's body and thus do not interfere with driving, and works well at any time. One of the other features of this system is that, by checking the driver's environment, it will detect the driver's fatigue and sleepiness, depending on the conditions and before the person is fully drowsy
Full-Text [PDF 1767 kb]   (343 Downloads)    
Type of Study: Research Paper | Subject: alg
Received: 2019/05/21 | Revised: 2024/05/15 | Accepted: 2021/09/7 | Published: 2023/06/20 | ePublished: 2023/06/20

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