JuliaCon 2018

Abstract
Welcome to the exciting world of Brain Computer Interface with Internet of Things. With our project we have made an attempt to provide voice to the voiceless and capability to the incapable (paralyzed) with the help of wonderful programming language known as Julia.
Description
Brain Computer Interface and Internet of Things are the two sides of a river. On one side, we have Internet of Things which connects electronic gadgets used in our daily life. On the other side we have, Brain Computer Interface which is still in its infancy, but has shown great potential to influence our lives. We made an attempt to build the bridge between Brain Computer Interface and Internet of Things with the help of Julia programming language and achieved satisfactory results. For our experiment we used Raspberry Pi, muse a consumer grade electroencephalography device, sensors, lab streaming layer library written in Python, JuliaBerry package for programming GPIO pins of Raspberry Pi using Julia.
The process followed for performing the experiment is described below:
Step 1: Prepare Raspberry Pi 3 by Installing and Configuring necessary, Python and Julia software packages for Raspberry Pi like JuliaBerry, PiGPIO.jl, pylsl.
Step 2: Connect Raspberry Pi with Muse EEG device via Bluetooth.
Step 3: Record raw EEG signals from muse brain sensing device using pylsl lab streaming layer library written in Python. The signal processing of raw EEG signals includes filtering, feature extraction, noise reduction and spike classification techniques and implemented in Julia.
Step 4: Interface Raspberry Pi and devices in home environment.
Step 5: Based on neural activity of brain i.e., brainwave measurement of concentration, Julia programs perform variety of tasks such as control devices at home, play prerecorded audio file.
We believe that the above application is useful to people who are suffering from medical conditions such as Paralysis and Laryngeal Surgery by helping them controlling the devices, generating voice input commands and voice output through EEG signals.