Development of Miniaturized Wearable Wristband Type Surface EMG Measurement System for Biometric Authentication

生物识别 可穿戴计算机 认证(法律) 计算机科学 信号(编程语言) 支持向量机 可穿戴技术 人工智能 模式识别(心理学) 嵌入式系统 模拟 计算机硬件 计算机安全 程序设计语言
作者
Siho Shin,Mingu Kang,Jaehyo Jung,Youn Tae Kim
出处
期刊:Electronics [Multidisciplinary Digital Publishing Institute]
卷期号:10 (8): 923-923 被引量:17
标识
DOI:10.3390/electronics10080923
摘要

Personal authentication systems employing biometrics are attracting increasing attention owing to their relatively high security compared to existing authentication systems. In this study, a wearable electromyogram (EMG) system that can be worn on the forearm was developed to detect EMG signals and, subsequently, apply them for personal authentication. In previous studies, wet electrodes were attached to the skin for measuring biosignals. Wet electrodes contain adhesives and conductive gels, leading to problems such as skin rash and signal-quality deterioration in long-term measurements. The miniaturized wearable EMG system developed in this study comprised flexible dry electrodes attached to the watch strap, enabling EMG measurements without additional electrodes. In addition, for accurately classifying and applying the measured signal to the personal authentication system, an optimal algorithm for classifying the EMG signals based on a multi-class support vector machine (SVM) model was implemented. The model using cubic SVM achieved the highest personal authentication rate of 87.1%. We confirmed the possibility of implementing a wearable authentication system by measuring the EMG signal and artificial intelligence analysis algorithm presented in this study.
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