Gait-based Authentication: Evaluation of Energy Consumption on Commercial Devices
2022 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS AND OTHER AFFILIATED EVENTS (PERCOM WORKSHOPS)(2022)
摘要
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.
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关键词
Wearable device, Gait, Authentication, Energy consumption
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