Audio-cued motor imagery-based brain-computer interface: Navigation through virtual and real environments

被引：35
作者：
Velasco-Alvarez, Francisco [1 ]
Ron-Angevin, Ricardo [1 ]
da Silva-Sauer, Leandro [1 ]
Sancha-Ros, Salvador [1 ]
机构：
[1] Univ Malaga, Dpto Tecnol Elect, ETSI Telecomunicac, E-29071 Malaga, Spain
来源：
NEUROCOMPUTING | 2013年 / 121卷
关键词：
Brain-computer interface (BCI); Navigation; Asynchronous; Motor imagery (MI); Mental tasks; Auditory; SLOW CORTICAL POTENTIALS; ROBOT SIMULATOR; SELF-REGULATION; COMMUNICATION; BCI; PERFORMANCE; WHEELCHAIR; WORLDS; SYSTEM; MODEL;
D O I：
10.1016/j.neucom.2012.11.038
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of this work is to provide a navigation paradigm that could be used to control a wheelchair through a brain-computer interface (BCI). In such a case, it is desirable to control the system without a graphical interface so that it will be useful for people without gaze control. Thus, an audio-cued paradigm with several navigation commands is proposed. In order to reduce the probability of misclassification, the BCI operates with only two mental tasks: relaxed state versus imagination of right hand movements; the use of motor imagery for navigation control is not yet extended among the auditory BCIs. Two experiments are described: in the first one, users practice the switch from a graphical to an audio-cued interface with a virtual wheelchair; in the second one, they change from virtual to real environments. The obtained results support the use of the proposed interface to control a real wheelchair without the need of a screen to provide visual stimuli or feedback. (c) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码：89 / 98
页数：10
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