Control of a simulated wheelchair based on a hybrid brain computer interface

Jinyi Long; Yuanqing Li; Hongtao Wang; Tianyou Yu; Jiahui Pan

doi:10.1109/EMBC.2012.6347538

Control of a simulated wheelchair based on a hybrid brain computer interface

Annu Int Conf IEEE Eng Med Biol Soc. 2012:2012:6727-30. doi: 10.1109/EMBC.2012.6347538.

Authors

Jinyi Long¹, Yuanqing Li, Hongtao Wang, Tianyou Yu, Jiahui Pan

Affiliation

¹ School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China.

PMID: 23367473
DOI: 10.1109/EMBC.2012.6347538

Abstract

In this paper, a hybrid BCI system was described for the control of a simulated wheelchair. This hybrid BCI was based on the motor imagery-based mu rhythm and the P300 potential. With our paradigm, the user may perform left- or right-hand imagery to control the direction (left or right turn) of the simulated wheelchair. Furthermore, a hybrid manner was used for speed control: e.g., foot imagery without button attention for deceleration and a specific button attention without any motor imagery for acceleration. An experiment based on a simulated wheelchair in virtual environment was conducted to assess the BCI control. Subjects effectively steered the simulated wheelchairs by controlling the direction and speed with our hybrid BCI system. Data analysis validated that our hybrid BCI system can be used to control the direction and speed of a simulated wheelchair.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Acceleration
Algorithms
Brain-Computer Interfaces*
Computer Graphics
Computer Simulation
Electroencephalography / methods
Equipment Design
Event-Related Potentials, P300
Humans
Man-Machine Systems*
Models, Statistical
Motor Skills
Reproducibility of Results
Software
User-Computer Interface
Wheelchairs*