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논문 기본 정보

자료유형
학술대회자료
저자정보
Sangtae Ahn (Gwangju Institute of Science and Technology) Sung Chan Jun (Gwangju Institute of Science and Technology)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2012
발행연도
2012.10
수록면
2,053 - 2,056 (4page)

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초록· 키워드

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To increase information transfer rate (ITR) in brain-computer interface (BCI), many approaches better extracting new and robust features, or effectively combining such features have been proposed. Recently, hybrid BCI combining features simultaneously acquired from two different experimental paradigms has been reported. In this work, subjects performed tasks typically used in two BCI approaches, namely event-related de-synchronization (ERD) and steady-state somatosensory evoked potentials (SSSEP). Subjects imagined the movement of left or right hand (ERD) and gave more attention to the vibration (having different frequencies) of left or right finger (SSSEP). Offline analyses were found that half of the subjects did well ERD BCI rather than SSSEP BCI and information that was invisible in ERD pattern appeared in SSSEP pattern. As a preliminary study to develop a hybrid BCI using both ERD and SSSEP, we investigated how different information could be extracted from ERD and SSSEP, and further discussed how the hybrid ERD-SSSEP BCI is feasible.

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Abstract
1. INTRODUCTION
2. METHODS
3. RESULTS
4. DISCUSSION
REFERENCES

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