计算机与数字工程2018，Vol.46Issue(3)：479-484,6.DOI:10.3969/j.issn.1672-9722.2018.03.012
基于极限学习机的"模拟阅读"脑-机接口异步化研究
Research of Asynchronous Imitating-Reading BCI Based on Extreme Learning Machine
摘要
Abstract
The imitating-reading brain computer interface works on synchronous mode,while the asynchronous brain comput?er interface enables the user to control the system autonomously and has more practical value.In order to achieve asynchrony,work?ing state and the idle state need to be identified effectively.In this paper,using the extreme learning machine classification method based on the typical single-hidden layer feed-forward neural network to discuss the characteristics selection and mode classification of working state in imitating-reading mode. The target stimulus or non-target stimulus is used as working state feature,classified with three idle states,such as eyes closed,freedom thought,text reading and its hybrid form.The results show that the target stimu?lus time period as the working state feature can be distinguished effectively from the idle state,and the non-target stimulus time pe?riod as the working state feature can not be distinguished effectively.The hybrid form of three idle states has stable recognition accu?racy and good universality.关键词
模拟阅读/异步脑-机接口/空闲状态/极限学习机Key words
imitating-reading/asynchronous BCI/idle state/extreme learning machine分类
信息技术与安全科学引用本文复制引用
李洋,谢国栋,官金安..基于极限学习机的"模拟阅读"脑-机接口异步化研究[J].计算机与数字工程,2018,46(3):479-484,6.基金项目
国家自然科学基金项目(编号:91120017) （编号:91120017）
2017中央专项业务费(编号:CZP17033)资助. （编号:CZP17033）
