Brain-Machine Interface for Robotic Control

Yokohama National University, 2018 • 2018

Brain-Machine Interface for Robotic Control

Overview

EEG-based control system using a simple electroencephalograph (Emotiv Insight) to operate a 1-DOF robotic arm. The robotic hand is 3D printed using thermoplastic polyurethane (TPU) to prevent brittle fracture under impact.

Key Features

  • Brain wave state classification
  • Real-time arm control
  • Robust 3D printed design
  • Thermoplastic polyurethane (TPU) material

Technologies

EEGSignal ProcessingRoboticsNeural Decoding

Awards & Recognition

  • Best Research Presentation Award
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