Скачать или смотреть 뇌-컴퓨터 인터페이스 개론 12 (SSVEP-based BCIs 원리)

이번 영상에서는 SSVEP기반 BCI의 원리와 장단점, 연구주제, 주의사항 등을 소개합니다. 또한 feature extraction 방법인 canonical correlation analysis (CCA), filter bank canonical correlation analysis (FBCCA)를 소개하며, Bremen speller, multi-stage speller, one-stage speller, high-frequency speller, SSVEP-P300 (hybrid) speller를 소개합니다.

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Week Contents
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1 Introduction to brain-computer interfaces
2 Basic of neuroscience
3 Acquisition of brain signals
4 Experimental procedure
5 EEG analysis
6 Machine learning 1
7 Machine learning 2
8 SMR-based BCIs
9 Practiceof SMR-based BCIs
10 P300-based BCIs
11 Practiceof P300-based BCIs
[12] SSVEP-based BCIs
13 Practiceof SSVEP-based BCIs
14 BCI research trends