User Authentication via Electrical Muscle Stimulation

Repository for our paper User Authentication via Electrical Muscle Stimulation.

This repo provides simulation source code and hardware design to replicate our results and prototypes in the paper.

Structure of this repo

hardware contains all sources related to hardware

• holder-final.stl: 3D model of the motion sensor holder
• imu.ino: code for relaying IMU data

model contains PyTorch implementation of authentication models

• DeepConv.py: defines the challenge classification model
• VAE.py: defines the anomaly detection model

tester contains training/testing functions for authentication models