Muse EEG Classifier

An Android application that classify real-time EEG data from Muse as Mindfulness/Active State using a SVM_Model.

Installation Guide

Application Developed and tested on

• Android Studio 3.1.2
• Samsung Tab S2 9.7 inch
• Muse 2016

Gradle dependencies

    implementation 'com.android.support:support-v4:27.1.0'
    implementation files('libs/libmuse_android.jar')
    implementation files('libs/libsvm.jar')
    implementation 'com.android.support.constraint:constraint-layout:1.0.2'
    implementation 'com.github.lzyzsd:circleprogress:1.2.1' //Circle Progress Library
    testImplementation 'junit:junit:4.12'
    testImplementation 'org.mockito:mockito-core:1.10.19'
    implementation "com.opencsv:opencsv:4.0"
    implementation 'com.jjoe64:graphview:4.2.1'

Additional Libraries (included in project)

Muse SDK

Android Studio Setup

1. Clone the repository using Android Studio
2. Create an Android Project
3. Create project from exisitng sources. Use default settings for all import project.

The project is now ready to build and run.

User Guide

• Graph on top shows the history of Meditation Level
• Circle progressbar shows the current meditation level
• bottom left shows the headband signal indicator per channel (1= Excellent, 4=Bad)

The application predicts your current state and display on the graph and circle progressbar.