An Approach to Biometric Verification Based on Human Body Communication in Wearable Devices.

Jingzhen Li,Yuhang Liu,Lei Wang,Zengyao Pang,Wenjian Qin,Zedong Nie

doi:10.3390/s17010125

Abstract

In this paper, an approach to biometric verification based on human body communication (HBC) is presented for wearable devices. For this purpose, the transmission gain S21 of volunteer’s forearm is measured by vector network analyzer (VNA). Specifically, in order to determine the chosen frequency for biometric verification, 1800 groups of data are acquired from 10 volunteers in the frequency range 0.3 MHz to 1500 MHz, and each group includes 1601 sample data. In addition, to achieve the rapid verification, 30 groups of data for each volunteer are acquired at the chosen frequency, and each group contains only 21 sample data. Furthermore, a threshold-adaptive template matching (TATM) algorithm based on weighted Euclidean distance is proposed for rapid verification in this work. The results indicate that the chosen frequency for biometric verification is from 650 MHz to 750 MHz. The false acceptance rate (FAR) and false rejection rate (FRR) based on TATM are approximately 5.79% and 6.74%, respectively. In contrast, the FAR and FRR were 4.17% and 37.5%, 3.37% and 33.33%, and 3.80% and 34.17% using K-nearest neighbor (KNN) classification, support vector machines (SVM), and naive Bayesian method (NBM) classification, respectively. In addition, the running time of TATM is 0.019 s, whereas the running times of KNN, SVM and NBM are 0.310 s, 0.0385 s, and 0.168 s, respectively. Therefore, TATM is suggested to be appropriate for rapid verification use in wearable devices.

Highlights

Body sensor networks (BSNs), which referred to as body area networks (BANs), are wireless networks for interconnecting wearable nodes/devices centered on an individual person’s workspace [1,2]
We aim to study the biometric verification based on human body communication (HBC) for wearable devices
This paper proposes a rapid biometric verification for application in wearable devices

Summary

Introduction

Body sensor networks (BSNs), which referred to as body area networks (BANs), are wireless networks for interconnecting wearable nodes/devices centered on an individual person’s workspace [1,2]. The information security of wearable devices should be strictly considered [12]. Biometric verification, which uses the human physiological or behavioral trait to achieve personal verification, is widely used in information security [13,14]. Compared with conventional verifications, such as digital password, personal identification number and IC card, biometric verification has the advantages of being much more difficult to forget, lose, steal, copy or forge [15].

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Discussion

Conclusion