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Acquiring Brain Signals of Imagining Humanoid Robot Walking Behavior via Cerebot

  • Wei Li
  • Yunyi Li
  • Genshe Chen
  • Qinghao Meng
  • Ming Zeng
  • Fuchun Sun
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 215)

Abstract

Control of humanoid robot behavior with the mind begins a new era of robotics research. One of the critical issues in this research is how to acquire the brain signals with high quality which are correlated to humanoid robot behavior. In order to improve subjects’ concentration on their mental activities during tests, we develop a stimuli module in the Cerebot system, consisting of a Cerebus neural data acquisition system and a Kumotek robot with 20 degrees of freedom or a NAO robot with 25 degrees of freedom. We present the experimental procedures for acquiring brain signals of imagining humanoid robot walking behavior by using movies of robot walking or real robot walking activities. We record two groups of brain signals correlated to mental activities of six robot walking behavior. Finally, we present a demonstration of controlling the humanoid robot walking behavior using the phase coding mechanisms of the Delta rhythms.

Keywords

Mind control Humanoid robot Robot walking behavior Brainwaves Phase coding 

Notes

Acknowledgments

We would like to thank Dr. Meifang Ma from Blackrock Microsystems for his help in conducting the experiments.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Wei Li
    • 1
    • 2
  • Yunyi Li
    • 3
  • Genshe Chen
    • 4
  • Qinghao Meng
    • 1
  • Ming Zeng
    • 1
  • Fuchun Sun
    • 5
  1. 1.School of Electrical Engineering and Automation, Institute of Robotics and Autonomous System (IRAS)Tianjin UniversityTianjinChina
  2. 2.Department of Computer and Electrical Engineering and Computer ScienceCalifornia State University, BakersfieldBakersfieldUSA
  3. 3.Department of Psychology and NeuroscienceDuke UniversityDurhamUSA
  4. 4.I-Fusion Technologies, IncGermantownUSA
  5. 5.State Key Laboratory of Intelligent Technology and SystemsTsinghua UniversityBeijingChina

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