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An unobtrusive Android person verification using accelerometer based gait

Mobile devices are ubiquitous enough to be considered as a valid token for proof of claim to identity. Unfortunately, the small size of mobile devices also means that it is prone to being misplaced and stolen. Gait biometric on accelerometer equipped mobile devices can add another layer of security in the event of theft, as it would refute a fraudulent claim to identity. As an extra bonus, gait data can be collected without the knowledge of the person handling the mobile device. In this paper, we describe how mobile devices can be used unobtrusively for the purpose of person verification. Person verification is achieved by classification of accelerometer based gait data recorded by said mobile device. Use cases for this approach is presented in a framework; supported by proof of concept experimental results.