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

	An Approach to Biometric Verification Based on Human Body Communication in Wearable Devices.
	Li, Jingzhen; Liu, Yuhang; Nie, Zedong; Qin, Wenjian; Pang, Zengyao; Wang, Lei
刊名	SENSORS
	2017
文献子类	期刊论文
英文摘要	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.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/11970]
专题	深圳先进技术研究院_医工所
作者单位	SENSORS
推荐引用方式 GB/T 7714	Li, Jingzhen,Liu, Yuhang,Nie, Zedong,et al. An Approach to Biometric Verification Based on Human Body Communication in Wearable Devices.[J]. SENSORS,2017.
APA	Li, Jingzhen,Liu, Yuhang,Nie, Zedong,Qin, Wenjian,Pang, Zengyao,&Wang, Lei.(2017).An Approach to Biometric Verification Based on Human Body Communication in Wearable Devices..SENSORS.
MLA	Li, Jingzhen,et al."An Approach to Biometric Verification Based on Human Body Communication in Wearable Devices.".SENSORS (2017).