Gait Recognition as an Authentication Method for Mobile Devices

With the rate at which smartphones are currently evolving, more and more of human life will be contained in these devices. At a time when data privacy is extremely important, it is crucial to protect one's mobile device. In this paper, we propose a new non-intrusive gait recognition based mecha...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2020-07, Vol.20 (15), p.4110
Main Authors: Axente, Matei-Sorin, Dobre, Ciprian, Ciobanu, Radu-Ioan, Purnichescu-Purtan, Raluca
Format: Article
Language:English
Subjects:
Accelerometers
Algorithms
Authentication
Computer Security
Confidence
Datasets
Facial recognition technology
Gait
gait detection
Gait recognition
Humans
Methods
mobile devices
Motion sensors
Privacy
Sensors
Smartphone
Smartphones
Statistical analysis
Statistical models
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Summary:With the rate at which smartphones are currently evolving, more and more of human life will be contained in these devices. At a time when data privacy is extremely important, it is crucial to protect one's mobile device. In this paper, we propose a new non-intrusive gait recognition based mechanism that can enhance the security of smartphones by rapidly identifying users with a high degree of confidence and securing sensitive data in case of an attack, with a focus on a potential architecture for such an algorithm for the Android environment. The motion sensors on an Android device are used to create a statistical model of a user's gait, which is later used for identification. Through experimental testing, we prove the capability of our proposed solution by correctly classifying individuals with an accuracy upwards of 90% when tested on data recorded during multiple activities. The experiments, conducted on a low sampling rate and at short time intervals, show the benefits of our solution and highlight the feasibility of an efficient gait recognition mechanism on modern smartphones.
ISSN:1424-8220
1424-8220
DOI:10.3390/s20154110