A vehicle safety monitoring system based on the Internet of things and the identification of physiological characteristics. (January 2021)

• Record Type: Journal Article
• Authors: Wang, Zhi-Hao; Horng, Gwo-Jiun; Hendrick, ; Gwo-Jia, Jong
• Is Part Of: Computers & electrical engineering. Volume 89(2021)
• Publication Date: 2021-01
• Subjects: Internet of things (IoT) -- Vehicle safety monitoring system -- Identification of physiological characteristics -- Zigbee networking -- Queen honey bee migration (QHBM) algorithm -- Fuzzy controller -- Photoplethysmography (PPG); Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2020.106946
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: In general, the mental state of a driver is a crucial aspect when a vehicle is on the road. In this study, we design a vehicle safety monitoring system based on the Internet of things and physiological characteristic identification. The developed monitoring system, which is based on Zigbee, comprises two parts: (1) the network coordinator and router, which are installed on the road, and (2) the network-end devices, which are installed in the vehicle. The queen honey bee migration algorithm is used to improve the performance of the Zigbee network. Moreover, a fuzzy controller with a photoplethysmography signal is used as input to analyze the mental state of the driver. The developed system provides the driving status, such as normal, slow, pause, or stop. Graphical abstract: Image, graphical abstract