The Berlin brain-computer interface: non-medical uses of BCI technology

被引:236
作者
Blankertz, Benjamin [1 ,2 ]
Tangermann, Michael [1 ]
Vidaurre, Carmen [1 ]
Fazli, Siamac [1 ]
Sannelli, Claudia [1 ]
Haufe, Stefan [1 ]
Maeder, Cecilia [1 ]
Ramsey, Lenny [1 ,3 ]
Sturm, Irene [1 ]
Curio, Gabriel [4 ]
Mueller, Klaus-Robert [1 ]
机构
[1] Berlin Inst Technol, Machine Learning Lab, Room 6056,Franklinstr 28-29, D-10587 Berlin, Germany
[2] Fraunhofer FIRST, Intelligent Data Anal Grp, Berlin, Germany
[3] Rudolf Magnus Inst Pharmacol, Utrecht, Netherlands
[4] Charite Campus Benjamin Franklin, Dept Neurol, Berlin, Germany
关键词
brain-computer interface; mental state monitoring; decoding of mental states; BCI deficiency; sensory motor rhythms; event-related desynchronization; THOUGHT-TRANSLATION DEVICE; SINGLE-TRIAL EEG; MENTAL ROTATION; COGNITIVE PERFORMANCE; PRESTIMULUS ALPHA; WORKING-MEMORY; DRY ELECTRODES; COMMUNICATION; ATTENTION; STATE;
D O I
10.3389/fnins.2010.00198
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Brain-computer interfacing (BCI) is a steadily growing area of research. While initially BCI research was focused on applications for paralyzed patients, increasingly more alternative applications in healthy human subjects are proposed and investigated. In particular, monitoring of mental states and decoding of covert user states have seen a strong rise of interest. Here, we present some examples of such novel applications which provide evidence for the promising potential of BCI technology for non-medical uses. Furthermore, we discuss distinct methodological improvements required to bring non-medical applications of BCI technology to a diversity of layperson target groups, e.g., ease of use, minimal training, general usability, short control latencies.
引用
收藏
页数:17
相关论文
共 150 条
[71]   The functional significance of ERP effects during mental rotation [J].
Heil, M .
PSYCHOPHYSIOLOGY, 2002, 39 (05) :535-545
[72]  
Hill N.J., 2005, ADV NEURAL INFORM PR, V17, P569
[73]  
Höhne J, 2010, IEEE ENG MED BIO, P4185, DOI 10.1109/IEMBS.2010.5627379
[74]   Neurofeedback-based motor imagery training for brain-computer interface (BCI) [J].
Hwang, Han-Jeong ;
Kwon, Kiwoon ;
Im, Chang-Hwang .
JOURNAL OF NEUROSCIENCE METHODS, 2009, 179 (01) :150-156
[75]  
Kaper M, 2004, P ANN INT IEEE EMBS, V26, P4363
[76]   Enhancing cognitive performance with repetitive transcranial magnetic stimulation at human individual alpha frequency [J].
Klimesch, W ;
Sauseng, P ;
Gerloff, C .
EUROPEAN JOURNAL OF NEUROSCIENCE, 2003, 17 (05) :1129-1133
[77]   EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis [J].
Klimesch, W .
BRAIN RESEARCH REVIEWS, 1999, 29 (2-3) :169-195
[78]   Towards Zero Training for Brain-Computer Interfacing [J].
Krauledat, Matthias ;
Tangermann, Michael ;
Blankertz, Benjamin ;
Mueller, Klaus-Robert .
PLOS ONE, 2008, 3 (08)
[79]   The Berlin Brain-Computer Interface (BBCI) -: towards a new communication channel for online control in gaming applications [J].
Krepki, Roman ;
Blankertz, Benjamin ;
Curio, Gabriel ;
Mueller, Klaus-Robert .
MULTIMEDIA TOOLS AND APPLICATIONS, 2007, 33 (01) :73-90
[80]   TRACING THE DYNAMIC CHANGES IN PERCEIVED TONAL ORGANIZATION IN A SPATIAL REPRESENTATION OF MUSICAL KEYS [J].
KRUMHANSL, CL ;
KESSLER, EJ .
PSYCHOLOGICAL REVIEW, 1982, 89 (04) :334-368