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Article

Driver Identification System Using Normalized Electrocardiogram Based on Adaptive Threshold Filter for Intelligent Vehicles

by 1, 2,* and 1,*
1
IT Research Institute, Chosun University, Gwangju 61452, Korea
2
Department of Computer Science, William Paterson University of New Jersey, Wayne, NJ 07470, USA
*
Authors to whom correspondence should be addressed.
Sensors 2021, 21(1), 202; https://doi.org/10.3390/s21010202
Received: 30 November 2020 / Revised: 19 December 2020 / Accepted: 23 December 2020 / Published: 30 December 2020
(This article belongs to the Special Issue Computational Intelligence and Intelligent Contents (CIIC))
Driver-centered infotainment and telematics services are provided for intelligent vehicles that improve driver convenience. Driver-centered services are performed after identification, and a biometrics system using bio-signals is applied. The electrocardiogram (ECG) signal acquired in the driving environment needs to be normalized because the intensity of noise is strong because the driver’s motion artifact is included. Existing time, frequency, and phase normalization methods have a problem of distorting P, QRS Complexes, and T waves, which are morphological features of an ECG, or normalizing to signals containing noise. In this paper, we propose an adaptive threshold filter-based driver identification system to solve the problem of distortion of the ECG morphological features when normalized and the motion artifact noise of the ECG that causes the identification performance deterioration in the driving environment. The experimental results show that the proposed method improved the average similarity compared to the results without normalization. The identification performance was also improved compared to the results before normalization. View Full-Text
Keywords: biometrics; driver identification; ECG; normalization; adaptive threshold filter; intelligent vehicle biometrics; driver identification; ECG; normalization; adaptive threshold filter; intelligent vehicle
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MDPI and ACS Style

Choi, G.H.; Lim, K.; Pan, S.B. Driver Identification System Using Normalized Electrocardiogram Based on Adaptive Threshold Filter for Intelligent Vehicles. Sensors 2021, 21, 202. https://doi.org/10.3390/s21010202

AMA Style

Choi GH, Lim K, Pan SB. Driver Identification System Using Normalized Electrocardiogram Based on Adaptive Threshold Filter for Intelligent Vehicles. Sensors. 2021; 21(1):202. https://doi.org/10.3390/s21010202

Chicago/Turabian Style

Choi, Gyu Ho, Kiho Lim, and Sung Bum Pan. 2021. "Driver Identification System Using Normalized Electrocardiogram Based on Adaptive Threshold Filter for Intelligent Vehicles" Sensors 21, no. 1: 202. https://doi.org/10.3390/s21010202

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