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 paper, a gait-based authentication method is designed and implemented for commercially available devices, in order to fill the gap between prototypical and real-world solutions. Particular attention is given to the energy requirements of the system. To this purpose, the impact of the sampling frequency on the accuracy vs consumption trade-off is first analyzed. Then, several architectural configurations are compared to assess the benefits obtained by executing the whole method on the smartwatch, instead of offloading computation to a smartphone. Results show that a smartwatch-only solution is more energy-efficient, as the power consumption due to transferring the data to an external device outweighs the benefits deriving from the decreased computational load.

Gait-based Authentication: Evaluation of Energy Consumption on Commercial Devices

G Cola
2022

Abstract

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 paper, a gait-based authentication method is designed and implemented for commercially available devices, in order to fill the gap between prototypical and real-world solutions. Particular attention is given to the energy requirements of the system. To this purpose, the impact of the sampling frequency on the accuracy vs consumption trade-off is first analyzed. Then, several architectural configurations are compared to assess the benefits obtained by executing the whole method on the smartwatch, instead of offloading computation to a smartphone. Results show that a smartwatch-only solution is more energy-efficient, as the power consumption due to transferring the data to an external device outweighs the benefits deriving from the decreased computational load.
2022
Istituto di informatica e telematica - IIT
978-1-6654-1648-1
Wea
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/412165
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