標題: Automatic Design for Independent Component Analysis based Brain-computer Interfacing
作者: Chuang, Chun-Hsiang
Lin, Yuan-Pin
Ko, Li-Wei
Jung, Tzyy-Ping
Lin, Chin-Teng
交大名義發表
電控工程研究所
National Chiao Tung University
Institute of Electrical and Control Engineering
公開日期: 2013
摘要: This study proposes a new framework, independent component ensemble, to leverage the acquired knowledge into a truly automatic and on-line EEG-based brain-computer interfacing (BCI). The envisioned design includes: (1) independent source recover using independent component analysis (ICA) (2) automatic selection of the independent components of interest (ICi) associated with human behaviors; (3) multiple classifiers with a parallel constructing and processing structure; and (4) a simple fusion scheme to combine the decisions from multiple classifiers. Its implications in BCI are demonstrated through a sample application: cognitive-state monitoring of participants performing a realistic sustained-attention driving task. Empirical results showed the proposed ensemble design could provide an improvement of 7%similar to 15% in overall accuracy for the classification of the arousal state and the driving performance. In summary, constructing ICi-ensemble classifiers and combining their outputs demonstrates a practical option for ICA-based BCIs to reduce the risk of not obtaining any desired independent source or selecting an inadequate component. Most importantly, the ensemble design for integrating information across multiple brain areas creates potentials for developing more complicated BCIs for real world applications.
URI: http://hdl.handle.net/11536/25135
ISBN: 978-1-4577-0216-7
ISSN: 1557-170X
期刊: 2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
起始頁: 2180
結束頁: 2183
顯示於類別:會議論文