Low-cost brain computer interface for everyday use

10/05/2021
by   Ildar_R, et al.
0

With the growth in electroencephalography (EEG) based applications the demand for affordable consumer solutions is increasing. Here we describe a compact, low-cost EEG device suitable for daily use. The data are transferred from the device to a personal server using the TCP-IP protocol, allowing for wireless operation and a decent range of motion for the user. The device is compact, having a circular shape with a radius of only 25 mm, which would allow for comfortable daily use during both daytime and nighttime. Our solution is also very cost effective, approximately $350 for 24 electrodes. The built-in noise suppression capability improves the accuracy of recordings with a peak input noise below 0.35 μV. Here, we provide the results of the tests for the developed device. On our GitHub page, we provide detailed specification of the steps involved in building this EEG device which should be helpful to readers designing similar devices for their needs https://github.com/Ildaron/ironbci.

READ FULL TEXT
research
01/23/2023

Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short report

Artificial intelligence has made significant advances in recent years an...
research
05/13/2019

Building Brain Invaders: EEG data of an experimental validation

We describe the experimental procedures for a dataset that we have made ...
research
06/29/2023

DreamDiffusion: Generating High-Quality Images from Brain EEG Signals

This paper introduces DreamDiffusion, a novel method for generating high...
research
01/10/2022

PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to measure biosignals. arXiv:2201.02228

This paper presents an inexpensive, high-precision, but at the same time...
research
09/02/2018

PlayNPort: A Portable Wireless Music Player and Text Reader System

Portable Consumer Electronics has made a mark in the industry. With the ...
research
01/05/2022

PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to measure biosignals

This paper presents an inexpensive, high-precision, but at the same time...
research
02/06/2020

DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning

The "mind-controlling" capability has always been in mankind's fantasy. ...

Please sign up or login with your details

Forgot password? Click here to reset