no code implementations • 28 Sep 2021 • Alexa Muratyan, William Cheung, Sayanton V. Dibbo, Sudip Vhaduri
While most of these external authentication techniques suffer from multiple limitations, including recall burden, human errors, or biases, researchers have started using various physiological and behavioral data, such as gait and heart rate, collected by the wearables to authenticate a wearable user implicitly with a limited accuracy due to sensing and computing constraints of wearables.
no code implementations • 25 Aug 2020 • William Cheung, Sudip Vhaduri
In this work, we present a context-dependent soft-biometric-based authentication system for wearables devices using heart rate, gait, and breathing audio signals.
no code implementations • 25 Aug 2020 • William Cheung, Sudip Vhaduri
As market wearables are becoming popular with a range of services, including making financial transactions, accessing cars, etc.
