User Authentication via Electrical Muscle Stimulation
Yuxin Chen, Zhuolin Yang, Ruben Abbou, Pedro Lopes, Ben Y. Zhao, Haitao Zheng
Abstract
We propose a novel modality for active biometric authentication: electrical muscle stimulation (EMS). To explore this, we engineered an interactive system, which we call ElectricAuth, that stimulates the user's forearm muscles with a sequence of electrical impulses (i.e., EMS challenge) and measures the user's involuntary finger movements (i.e., response to the challenge). ElectricAuth leverages EMS's intersubject variability, where the same electrical stimulation results in different movements in different users because everybody's physiology is unique (e.g., differences in bone and muscular structure, skin resistance and composition, etc.). As such, Electri-cAuth allows users to login without memorizing passwords or PINs.
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Install the CLIlune papers fulltext 4735cc74-47a7-4a2c-908a-7395a1bf00a3Cited by top-tier papers7
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