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Active Acoustic Sensing Based Authentication System Using a Door Handle

Published: 02 December 2024 Publication History

Abstract

This paper presents a system that authenticates users solely based on the action of grasping a door handle. The system authenticates users by utilizing the differences in frequency characteristics between a hand and a door handle when grasped. The frequency characteristics of a hand vary from person to person depending on anatomical differences such as skeletal structure and muscle composition. This system is beneficial because it is not vulnerable to shoulder surfing and allows authentication solely by grasping the door handle. Data were collected from 25 users, and the system achieved an F1 score of 93.0% in the 25-class classification. In the One-vs-Rest classification using unknown users as test data, the average equal error rate was 4.76%.

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    MUM '24: Proceedings of the International Conference on Mobile and Ubiquitous Multimedia
    December 2024
    568 pages
    ISBN:9798400712838
    DOI:10.1145/3701571
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    Published: 02 December 2024

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    Author Tags

    1. Smart lock
    2. Biometrics
    3. Security
    4. User identification
    5. Machine learning

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