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SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

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SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots.

Jing Zhao¹, Wei Li², Xiaoqian Mao¹

¹School of Electrical Engineering and Automation, Tianjin University.

Journal of Visualized Experiments : Jove

|December 10, 2015

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This study introduces a reliable brain-robot interaction (BRI) system using steady-state visually evoked potentials (SSVEP) to control humanoid robots. The developed method enables disabled individuals to interact with robots through brain signals for daily assistance.

Area of Science:

Neuroscience
Robotics
Human-Computer Interaction

Background:

Brain-Robot Interaction (BRI) offers a novel communication channel between humans and robots using brain signals.
BRI has significant potential to assist individuals with disabilities in their daily activities.

Purpose of the Study:

To establish a steady-state visually evoked potential (SSVEP)-based experimental procedure for studying brain-robot interaction (BRI) with humanoid robots.
To integrate multiple software programs (OpenViBE, Choregraph, Central, C++, MATLAB) for a flexible and reliable BRI system.

Main Methods:

EEG electrodes were used to measure brain responses, and a user interface elicited SSVEP responses with video feedback.
Offline analysis of SSVEP features and classifier training were performed for each subject.

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Online Signal Processor and Robot Controller were configured for real-time control of a humanoid robot in closed-loop experiments.

Main Results:

Subjects successfully interacted with a humanoid robot using brain signals through the developed SSVEP-based system.
The integrated software approach demonstrated reliability and flexibility in controlling the robot.

Conclusions:

The developed BRI system enables mind-controlled humanoid robots to perform tasks relevant to robotic research and assistive applications.
This approach provides a viable pathway for enhancing the independence and daily living of disabled individuals through advanced human-robot collaboration.