Reference : Driver’s Face Pose Estimation Using Fine-Grained Wi-Fi Signals for Next-Generation In...
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/54064
Driver’s Face Pose Estimation Using Fine-Grained Wi-Fi Signals for Next-Generation Internet of Vehicles
English
[en] Driver’s Face Pose Estimation Using Fine-Grained Wi-Fi Signals for Next-Generation Internet of Vehicles
Akhtar, Zain ul Abidin []
Rassol, Hafiz Faiz []
Asif, Muhammad []
Khan, Wali Ullah mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Jaffri, Zain ul Abidin []
5-May-2022
Wireless Communications and Mobile Computing
John Wiley & Sons
2022
Yes
International
1530-8669
1530-8677
Hoboken
United States - New Jersey
[en] Internet of vehicle ; Face post estimation ; Wifi
[en] Driver’s behavior and gesture recognition are most significant in the emerging next-generation vehicular technology. Driver’s face
may provide important cues about his/her attention and fatigue behavior. Therefore, driver’s face pose is one of the key indicators
to be considered for automatic driver monitoring system in next-generation Internet of Vehicles (IoV) technology. Driver
behavior monitoring is most significant in order to reduce road accidents. This paper aims to address the problem of driver’s
attentiveness monitoring using face pose estimation in a nonintrusive manner. The proposed system is based on wireless
sensing, leveraging channel state information (CSI) of WiFi signals. In this paper, we present a novel classification algorithm
that is based on the combination of support vector machine (SVM) and K nearest neighbor (KNN) to enhance the
classification accuracy. Experimental results demonstrate that the proposed device-free wireless implementation can localize a
driver’s face very accurately with an average recognition rate of 91:8%.
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/10993/54064
10.1155/2022/7353080
https://www.hindawi.com/journals/wcmc/2022/7353080/

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