• Android
• smartwatch
• dispositivi mobili
• mobile devices
• mobile
• autenticazione
• authentication
• energy-consumption
• consumo energetico
• camminata
• gait

Smartphones and smartwatches, thanks to the sensors they are equipped with, provide a suitable platform for implementing and deploying motion-based behavioral biometrics.
In this thesis, a gait-based authentication method is designed and implemented for the Android ecosystem, filling the gap between prototypical and real-world solutions. Particular attention is given to the computation, communication, and energy requirements of the system.
To this purpose, the impact of the sampling frequency on the accuracy vs consumption tradeoff is first analyzed. Then several architectural configurations are compared, to assess the benefits obtained when executing the whole method on the smartwatch, against a more distributed approach that relies also on a smartphone. Results show that a smartwatch-only solution is more energy-efficient, as transferring the data to an external device outweighs the benefits due to the decreased computational load.