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

来源：

FRONTIERS IN NEUROSCIENCE | 2010年 / 4卷

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

页数：17

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