DocumentCode :
3136478
Title :
EEG Signal Processing and Classification for the Novel Tactile-Force Brain-Computer Interface Paradigm
Author :
Kono, Susumu ; Aminaka, Daiki ; Makino, Shigeru ; Rutkowski, Tomasz M.
Author_Institution :
Life Sci. Center of TARA, Univ. of Tsukuba, Tsukuba, Japan
fYear :
2013
fDate :
2-5 Dec. 2013
Firstpage :
812
Lastpage :
817
Abstract :
The presented study explores the extent to which tactile-force stimulus delivered to a hand holding a force-feedback joystick can serve as a platform for a brain-computer interface (BCI). The four pressure directions are used to evoke tactile brain potential responses, thus defining a tactile-force brain computer interface (tfBCI). We present brain signal processing and classification procedures leading to successful online interfacing results. Experimental results with seven subjects performing online BCI experiments provide a validation of the hand location tfBCI paradigm, while the feasibility of the concept is illuminated through remarkable information-transfer rates.
Keywords :
brain-computer interfaces; electroencephalography; force feedback; haptic interfaces; medical signal processing; signal classification; EEG signal classification; EEG signal processing; brain signal classification; brain signal processing; force-feedback joystick; hand location tfBCI paradigm; information-transfer rates; online interfacing; tactile brain potential responses; tactile-force brain-computer interface paradigm; tactile-force stimulus; Accuracy; Electrodes; Electroencephalography; Force; Protocols; Time factors; Visualization; EEG; brain signal processing; brain somatosensory evoked response; tactile BCI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal-Image Technology & Internet-Based Systems (SITIS), 2013 International Conference on
Conference_Location :
Kyoto
Type :
conf
DOI :
10.1109/SITIS.2013.132
Filename :
6727282
Link To Document :
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