Neurofeedback-Driven 6-DOF Robotic Arm: Integration of Brain-Computer Interface with Arduino for Advanced Control

TL;DR

This paper presents an integrated system using a BCI device and Arduino to control a 6-DOF robotic arm, demonstrating potential for assistive devices and prosthetics through brain signals.

Contribution

It introduces a novel integration of Emotive Insight BCI with Arduino for real-time control of a multi-DOF robotic arm, enhancing assistive robotics.

Findings

System effectively controls a 6-DOF robotic arm using brain signals.

Demonstrates potential for controlling prosthetic devices and other actuators.

Shows high efficiency and applicability in real-time control scenarios.

Abstract

Brain computer interface (BCI) applications in robotics are becoming more famous and famous. People with disabilities are facing a real-time problem of doing simple activities such as grasping, handshaking etc. in order to aid with this problem, the use of brain signals to control actuators is showing a great importance. The Emotive Insight, a Brain-Computer Interface (BCI) device, is utilized in this project to collect brain signals and transform them into commands for controlling a robotic arm using an Arduino controller. The Emotive Insight captures brain signals, which are subsequently analyzed using Emotive software and connected with Arduino code. The HITI Brain software integrates these devices, allowing for smooth communication between brain activity and the robotic arm. This system demonstrates how brain impulses may be utilized to control external devices directly. The results showed that the system is applicable efficiently to robotic arms and also for prosthetic arms with Multi Degree of Freedom. In addition to that, the system can be used for other actuators such as bikes, mobile robots, wheelchairs etc.