A Two-Stage State Recognition Method for Asynchronous SSVEP-Based Brain-Computer Interface System

doi:10.3724/SP.J.1218.2013.00045

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引用本文:
ZHANG Zimu, DENG Zhidong. A Two-Stage State Recognition Method for Asynchronous SSVEP-Based Brain-Computer Interface System[J]. 机器人, 2013, 35(1): 45-51.DOI: 10.3724/SP.J.1218.2013.00045. ZHANG Zimu, DENG Zhidong. A Two-Stage State Recognition Method for Asynchronous SSVEP-Based Brain-Computer Interface System. ROBOT, 2013, 35(1): 45-51. DOI: 10.3724/SP.J.1218.2013.00045.

摘要

A two-stage state recognition method is proposed for asynchronous SSVEP (steady-state visual evoked potential) based brain-computer interface (SBCI) system. The two-stage method is composed of the idle state (IS) detection and control state (CS) discrimination modules. Based on blind source separation and continuous wavelet transform techniques, the proposed method integrates functions of multi-electrode spatial filtering and feature extraction. In IS detection module, a method using the ensemble IS feature is proposed. In CS discrimination module, the ensemble CS feature is designed as feature vector for control intent classification. Further, performance comparisons are investigated among our IS detection module and other existing ones. Also the experimental results validate the satisfactory performance of our CS discrimination module.

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	ZHANG Zimu
	DENG Zhidong

关键词 ： state recognition, ensemble feature model, blind source separation (BSS), continuous wavelet transform(CWT), steady-state visual evoked potential (SSVEP), brain-computer interface (BCI), electroencephalogram(EEG)

Abstract：

Key words： state recognition ensemble feature model blind source separation (BSS) continuous wavelet transform(CWT) steady-state visual evoked potential (SSVEP) brain-computer interface (BCI) electroencephalogram(EEG)

收稿日期: 2012-03-05 录用日期: 2012-11-06

基金资助:

National Natural Science Foundation of China (90820305, 60775040)

通讯作者: DENG Zhidong E-mail: michael@tsinghua.edu.cn

作者简介: ZHANG Zimu (1984—), male, Ph.D. candidate. His research interests include neural science, signal processing, BCI, and robot control.
DENG Zhidong (1966—), male, Professor. His research interests include computational intelligence, BCI, complex network theory, computational biology, virtual reality, wireless sensor network, and robotics.

链接本文:

https://robot.sia.cn/CN/10.3724/SP.J.1218.2013.00045 或 https://robot.sia.cn/CN/Y2013/V35/I1/45

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