عنوان انگلیسی مقاله:
Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey
ترجمه فارسی عنوان مقاله:
پیشرفت های اخیر در احراز هویت کاربر مبتنی بر بیومتریک برای دستگاه های پوشیدنی: یک مرور معاصر
Sciencedirect - Elsevier - Digital Signal Processing, Corrected proof, 103120: 10:1016/j:dsp:2021:103120
In recent years, wearable technology is interwoven with our everyday lives because of its commoditization and comfort. Security and privacy become a big concern as many user-sensitive data have been
stored in such devices, such as personal emails and bank accounts. Traditional user authentication
techniques like PIN entry are unfriendly and vulnerable to shoulder surfing attacks. To address these
problems, a number of new authentication methods have been proposed. In this survey, we review
and categorize recent advances in user authentication for wearable devices. We classify existing studies
into physiological biometrics based and behavioral biometrics based methods. For each category, we
review how signal processing techniques have been used to extract features in various wearable devices.
Leveraging these extracted features, specifically designed classification methods can be used to realize
user authentication. Finally, we review evaluation metrics for user authentication in wearable devices.
Overall, in this survey, we systematically study assorted state-of-the-art user authentication methods for
wearable devices, aiming to provide guidance and directions for future research in this area.
Keywords: Wearable devices | User authentication | Signal processing | Machine learning