Goal-Oriented Control with Brain-Computer Interface

被引:0
作者
Edlinger, Guenter [1 ]
Holzner, Clemens [1 ]
Groenegress, Christoph [2 ]
Guger, Christoph [1 ]
Slater, Mel [2 ,3 ]
机构
[1] G Tec Guger Technol OEG, Herbersteinstr 60, A-8020 Graz, Austria
[2] Univ Politecn Cataluna, Barcelona, Spain
[3] Inst Catalana Res Estud Avancats, Barcelona, Spain
来源
FOUNDATIONS OF AUGMENTED COGNITION, PROCEEDINGS: NEUROERGONOMICS AND OPERATIONAL NEUROSCIENCE | 2009年 / 5638卷
关键词
Brain-computer interface; virtual reality; P300 evoked potential; BCI;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A brain-computer interface (BCI) is a new communication channel between the human brain and a digital computer. Such systems have been designed to support disabled people for communication and environmental control. In more recent research also BCI control in combination with Virtual Environments (VE) gains more and more interest. Within this study we present experiments combining BCI systems and VE for navigation and control purposes just by thoughts. Results show that the new P300 based BCI system allows a very reliable control of the VR system. Of special importance is the possibility to select very rapidly the specific command out of many different choices. The study suggests that more than 80% of the population could use such a BCI within 5 minutes of training only. This eliminates the usage of decision trees as previously done with BCI systems.
引用
收藏
页码:732 / +
页数:2
相关论文
共 13 条
[1]   A virtual reality testbed for brain-computer interface research [J].
Bayliss, JD ;
Ballard, DH .
IEEE TRANSACTIONS ON REHABILITATION ENGINEERING, 2000, 8 (02) :188-190
[2]   A spelling device for the paralysed [J].
Birbaumer, N ;
Ghanayim, N ;
Hinterberger, T ;
Iversen, I ;
Kotchoubey, B ;
Kübler, A ;
Perelmouter, J ;
Taub, E ;
Flor, H .
NATURE, 1999, 398 (6725) :297-298
[3]   Brain-computer interfaces: communication and restoration of movement in paralysis [J].
Birbaumer, Niels ;
Cohen, Leonardo G. .
JOURNAL OF PHYSIOLOGY-LONDON, 2007, 579 (03) :621-636
[4]   The mental prosthesis: Assessing the speed of a P300-based brain-computer interface [J].
Donchin, E ;
Spencer, KM ;
Wijesinghe, R .
IEEE TRANSACTIONS ON REHABILITATION ENGINEERING, 2000, 8 (02) :174-179
[5]   Multiple channel detection of steady-state visual evoked potentials for brain-computer interfaces [J].
Friman, Ola ;
Volosyak, Ivan ;
Graeser, Axel .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2007, 54 (04) :742-750
[6]   How many people are able to operate an EEG-based brain-computer interface (BCI)? [J].
Guger, C ;
Edlinger, G ;
Harkam, W ;
Niedermayer, I ;
Pfurtscheller, G .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2003, 11 (02) :145-147
[7]  
Komatsu T, 2008, NEUROSCI RES, V61, pS251
[8]   Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs [J].
Lin, Zhonglin ;
Zhang, Changshui ;
Wu, Wei ;
Gao, Xiaorong .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2007, 54 (06) :1172-1176
[9]   Motor imagery and action observation: Modulation of sensorimotor brain rhythms during mental control of a brain-computer interface [J].
Neuper, Christa ;
Scherer, Reinhold ;
Wriessnegger, Selina ;
Pfurtscheller, Gert .
CLINICAL NEUROPHYSIOLOGY, 2009, 120 (02) :239-247
[10]   Walking from thought [J].
Pfurtscheller, G ;
Leeb, R ;
Keinrath, C ;
Friedman, D ;
Neuper, C ;
Guger, C ;
Slaterc, M .
BRAIN RESEARCH, 2006, 1071 (01) :145-152