Low Cost EEG Based BCI Systems Using Emotiv and Arduino for Neurorehabilitation and Robotics

DOI

10.2991/978-94-6239-668-5_36How to use a DOI?

Keywords

Brain Computer Interface (BCI); EEG; Emotiv; Arduino; Neurorehabilitation; Robotics; HitiBrain

Abstract

This article presents a low-cost, accessible, and methodologically consistent Brain-Computer Interface (BCI) system for neurorehabilitation and assistive robotics applications. The system processes brain signals recorded using a 5-channel EEG headset and classifies the user’s cognitive commands thru the HITIBrain software platform. Interpreted commands are sent to an Arduino microcontroller, which controls a DC motor that mimics the movement of a simple robotic arm or prosthetic limb. The ultimate goal of this study is to develop a functional system concept demonstrating that brain signals can be interpreted to reliably trigger a physical device. This BCI system will include the Emotiv Insight headset, HITIBrain software, and Arduino. It is believed that this system can convert EEG signals into control signals that an external device can use. This means that brain waves can be used to control physical devices. These results confirm the prospective utility of the suggested BCI infrastructure for developing economical BCI methodologies in motor rehabilitation and assistive technologies, enhancing the accessibility of these innovations, and expanding the patient demographic.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Okan Barış
AU  - Mustafa Aksu
AU  - Mustafa Yağcı
PY  - 2026
DA  - 2026/05/14
TI  - Low Cost EEG Based BCI Systems Using Emotiv and Arduino for Neurorehabilitation and Robotics
BT  - Proceedings of the International Conference on Current Problems in Engineering and Applied Sciences (ICCPEAS 2025)
PB  - Atlantis Press
SP  - 331
EP  - 337
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-668-5_36
DO  - 10.2991/978-94-6239-668-5_36
ID  - Barış2026
ER  -