Braço Robótico controlado por Interface Cérebro-Computador

Thiago Hashiya Oda, André Takahata

DOI: 10.14209/SBRT.2020.1570653285

Evento: XXXVIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2020)

Keywords: Interface Cérebro-Máquina Eletroencefalograma Arduino

Abstract

This project aims to study an arm controlled by a brain-computer interface (BCI) based on electroencephalogram (EEG) signals. The project involved the construction of a robotic arm that can be controlled by neural signals to perform a group of actions, such as picking up and moving an object between two predefined positions. The model of the robotic arm is from the MeArm project and it uses an Arduino for control. We used Octave to create a program that commands the arm using previously acquired EEG signals, thus simulating the control of the arm by the user.

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