Brain-robot control interface: Development and application

Author

Prataksita, Narendra ; Yi-Tseng Lin ; Hung-Chyun Chou ; Chung-Hsien Kuo

Author_Institution

Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan

fYear

2014

fDate

11-14 April 2014

Firstpage

1

Lastpage

4

Abstract

Recent advances in brain computer interface (BCI) offers its capabilities to provide a way of communication with non-muscular activity to control computers, robots, and other assistive technologies. This paper exploits the possibility towards a semiautonomous, humanoid robot personal assistant for handicapped subjects. The motor imagery (MI) utilizes the event-related desynchronization (ERD) signal to detect user intentions. The detected user intention is further used to manipulate a small-size humanoid robot. In addition, the robot may avoid collision in terms of a vision-based obstacle avoidance approach so that it can walk in an unstructured environment safely.

Keywords

assisted living; bioelectric potentials; brain-computer interfaces; electroencephalography; handicapped aids; manipulators; medical robotics; medical signal detection; medical signal processing; assistive technologies; brain computer interface; brain-robot control interface; computer control; event-related desynchronization signal; handicapped subjects; motor imagery; nonmuscular activity; small-size humanoid robot manipulation; user intention detection; vision-based obstacle avoidance approach; Collision avoidance; Electroencephalography; Force; Humanoid robots; Navigation; Robot kinematics;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioelectronics and Bioinformatics (ISBB), 2014 IEEE International Symposium on

Conference_Location

Chung Li

Print_ISBN

978-1-4799-2769-2

Type

conf

DOI

10.1109/ISBB.2014.6820928

Filename

6820928