Lune

CHI2021Top-tier venue

User Authentication via Electrical Muscle Stimulation

Yuxin Chen, Zhuolin Yang, Ruben Abbou, Pedro Lopes, Ben Y. Zhao, Haitao Zheng

2021Year
35Citations
7Top-tier citations

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.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext 4735cc74-47a7-4a2c-908a-7395a1bf00a3

Cited by top-tier papers7

Ask how each one uses it

Builds on4

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines