The Berlin Brain-Computer Interface (BBCI) -: towards a new communication channel for online control in gaming applications

被引:121
作者
Krepki, Roman
Blankertz, Benjamin
Curio, Gabriel
Mueller, Klaus-Robert
机构
[1] Fraunhofer Inst Comp Architecture & Software Tech, Res Grp Intelligent Data Anal, D-61462 Koenigstein I Ts, Germany
[2] Free Univ Berlin, Klinikum Benjamin Franklin, Dept Neurol, Neurophys Grp, D-12203 Berlin, Germany
[3] Univ Potsdam, Dept Comp Sci, D-14482 Potsdam, Germany
关键词
brain-computer interface; electroencephalography; digital signal processing; machine learning; biofeedback; human-computer interaction; brain-gaming;
D O I
10.1007/s11042-006-0094-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The investigation of innovative Human-Computer Interfaces (HCI) provides a challenge for future multimedia research and development. Brain-Computer Interfaces (BCI) exploit the ability of human communication and control bypassing the classical neuromuscular communication channels. In general, BCIs offer a possibility of communication for people with severe neuromuscular disorders, such as Amyotrophic Lateral Sclerosis (ALS) or spinal cord injury. Beyond medical applications, a BCI conjunction with exciting multimedia applications, e. g., a dexterity game, could define a new level of control possibilities also for healthy customers decoding information directly from the user's brain, as reflected in electroencephalographic (EEG) signals which are recorded non-invasively from user's scalp. This contribution introduces the Berlin Brain-Computer Interface (BBCI) and presents setups where the user is provided with intuitive control strategies in plausible gaming applications that use biofeedback. Yet at its beginning, BBCI thus adds a new dimension in multimedia research by offering the user an additional and independent communication channel based on brain activity only. First successful experiments already yielded inspiring proofs-of-concept. A diversity of multimedia application models, say computer games, and their specific intuitive control strategies, as well as various Virtual Reality (VR) scenarios are now open for BCI research aiming at a further speed up of user adaptation and increase of learning success and transfer bit rates.
引用
收藏
页码:73 / 90
页数:18
相关论文
共 27 条
[1]  
[Anonymous], ELECTROENCEPHALOGRAP
[2]  
[Anonymous], THESIS U TORONTO CAN
[3]  
[Anonymous], 1997, Brain and Behavior Past, Present, and Future
[4]  
[Anonymous], 1995, Journal of Clinical Neurophysiology, DOI DOI 10.1097/00004691-199104000-00007
[5]   Electroencephalogram in humans [J].
Berger, H .
ARCHIV FUR PSYCHIATRIE UND NERVENKRANKHEITEN, 1929, 87 :527-570
[6]   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
[7]  
Blankertz B, 2002, ADV NEUR IN, V14, P157
[8]   Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysis [J].
Blankertz, B ;
Dornhege, G ;
Schäfer, C ;
Krepki, R ;
Kohlmorgen, J ;
Müller, KR ;
Kunzmann, V ;
Losch, F ;
Curio, G .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2003, 11 (02) :127-131
[9]   Neuroimage of voluntary movement: Topography of the Bereitschaftspotential, a 64-channel DC current source density study [J].
Cui, RQ ;
Huter, D ;
Lang, W ;
Deecke, L .
NEUROIMAGE, 1999, 9 (01) :124-134
[10]   CONTINGENT NEGATIVE VARIATION AND LATE POSITIVE WAVE OF AVERAGE EVOKED POTENTIAL [J].
DONCHIN, E ;
SMITH, DBD .
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1970, 29 (02) :201-&