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Erschienen in:
2014 | OriginalPaper | Buchkapitel
User Classification and Authentication for Mobile Device Based on Gesture Recognition
verfasst von : Kent W. Nixon, Yiran Chen, Zhi-Hong Mao, Kang Li
Erschienen in: Network Science and Cybersecurity
Verlag: Springer New York
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Abstract
Intelligent mobile devices are now commonplace in daily life. A large amount of sensitive information is stored on these devices, raising severe concerns regarding data security. In this work, we propose a novel user classification and authentication scheme for mobile devices based on continuous gesture recognition. The user’s input patterns are collected by the integrated sensors on an Android smartphone. A learning algorithm is developed to uniquely recognize a user during their normal interaction with the device while accommodating hardware and biometric features that are constantly changing. Our experimental results demonstrate a great possibility for our gesture-based security scheme to reach sufficient detection accuracy with an undetectable impact on user experience.