A P300 Model for Cerebot – A Mind-Controlled Humanoid Robot

  • Mengfan Li
  • Wei Li
  • Jing Zhao
  • Qinghao Meng
  • Ming Zeng
  • Genshe Chen
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 274)

Abstract

In this paper, we present a P300 model for control of Cerebot – a mind-controlled humanoid robot, including a procedure of acquiring P300 signals, topographical distribution analysis of P300 signals, and a classification approach to identifying subjects’ mental activities regarding robot-walking behavior.

We design two groups of image contexts to visually stimulate subjects when acquiring neural signals that are used to control a simulated or real NAO robot. Our study shows that the group of contexts using images of robot behavior delivers better performance.

Keywords

Mind control P300 model OpenViBE humanoid robot 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Mengfan Li
    • 1
  • Wei Li
    • 1
    • 2
  • Jing Zhao
    • 1
  • Qinghao Meng
    • 1
  • Ming Zeng
    • 1
  • Genshe Chen
    • 3
  1. 1.Institute of Robotics and Autonomous Systems, School of Electrical Engineering and AutomationTianjin UniversityTianjinChina
  2. 2.Department of Computer & Electrical Engineering and Computer ScienceCalifornia State UniversityBakersfieldUSA
  3. 3.Intelligent Fusion Technology, Inc.GermantownUSA

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