BCI control system for humanoid robot based on motor imaginary

Author

Fei Wang ; Chucheng Zhou ; Xiang Hao ; Song Wang ; Guangda Yang

Author_Institution

Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

fYear

2013

fDate

25-27 May 2013

Firstpage

5140

Lastpage

5143

Abstract

A general scheme for BCI control of a humanoid robot based on motor imaginary was proposed in this paper. The paper discusses the characteristics of the motor imagination signals EEG, draws and classifies the data and thus proves the feasibility of applying it to robot controlling. Then the paper illustrates the composition and realization of the control system, and analysis the results of the experiments. The paper successfully completes the control of NAO robot through the EEG signals of motion imagination, and compares the result with that of manual control. In this way, the experiment proves the effectiveness of the method of the system.

Keywords

brain-computer interfaces; electroencephalography; humanoid robots; signal classification; BCI control system; EEG signal; brain computer interface; data classification; electroencephalography; humanoid robot; motor imagination signal; robot control; Brain modeling; Electroencephalography; Feature extraction; Robot kinematics; Robot sensing systems; Support vector machines; BCI; EEG; Humanoid Robot; Motor Imaginary;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2013 25th Chinese

Conference_Location

Guiyang

Print_ISBN

978-1-4673-5533-9

Type

conf

DOI

10.1109/CCDC.2013.6561868

Filename

6561868