P300-based Brain Computer Interface Mouse with Genetically-optimised Analogue Control.pdf
- 1、本文档共37页,可阅读全部内容。
- 2、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。
- 3、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载。
- 4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
查看更多
P300-based Brain Computer Interface Mouse with Genetically-optimised Analogue Control
P300-based Brain Computer
Interface Mouse with
Genetically-optimised Analogue
Control
Luca Citi
Department of Computer Science
University of Essex, UK
and
Scuola Sant’Anna
Pisa, Italy
Riccardo Poli
Department of Computer Science
University of Essex, UK
Caterina Cinel
Department of Psychology
University of Essex, UK
Francisco Sepulveda
Department of Computer Science
University of Essex, UK
Technical Report CSM-451
Department of Computer Science
University of Essex
ISSN: 1744-8050
May 2006
Submitted to IEEE Transactions on Neural Systems and
Rehabilitation Engineering
1
Abstract
In this paper we propose a BCI mouse based on the manipulation of P300 waves
in EEG signals. The system is analogue in that at no point a binary decision is
made as to whether or not a P300 was actually produced in response to the stimuli.
Instead, the 2–D motion of the pointer on the screen, using a novel BCI paradigm,
was controlled by directly combining the amplitudes of the output produced by a
filter in the presence of different stimuli. This filter and the features to be combined
within it are optimised by an evolutionary algorithm. In the paper we illustrate our
approach, describe our system, and report the results of the testing and validation of
the system with 6 participants. The results are very promising, with all 6 participants
being able to control the mouse with excellent accuracy only minutes after wearing
the electrode cap despite their having no previous training with this system.
1 Introduction
Over the past few years an increasing number of studies have evaluated the possibility of
converting signals generated from the brain (especially EEG signals) into appropriate sig-
nals for applications in various disciplines, from virtual reality to hands-free control of aug-
mentative communication technologies for individuals with disabilities. Brain-Computer
Interface (BCI) systems can measure specific signals of brain activity intentionally and
unintentionally induced by the part
您可能关注的文档
- Narrow-Angle Astrometry with the Space Interferometry Mission The Search for Extra-solar Pl.pdf
- NASACR-2002-211675 A Description of the Software Element of the NASA Portable Electronic De.pdf
- Nasal resistance and flow resistive work of nasal breathing during exercise effects of nasal strip.pdf
- Nat Comm_C8orf4 negatively regulates self-renewal of liver cancer stem cell.pdf
- Nationality Australian Immigration status Greencard.holder.pdf
- Natural language description of human activities from video images based on concept hierarc.pdf
- Navigation expertise and the human hippocampus a structural brain imaging analysis.pdf
- Natural runoff changes in the Yellow River Basin.pdf
- NBR 11300 烟密度测试标准.pdf
- NCE2 Lesson 10.pdf
最近下载
- 2023年物业管理员理论知识考试题库(含答案).pdf
- GBT2550-2016 气体焊接设备 焊接、切割和类似作业用橡胶软管.pdf VIP
- 专升本语文资料.docx VIP
- 西南15G701-2-混凝土结构轻质填充墙构造图集.pdf
- 《在祖国怀抱里课件》小学音乐冀少2011课标版三年级上课件.ppt
- 烹饪专业调研报告.pdf
- 城市轨道交通安全管理项目2城市轨道交通危险源辨识与安全标志.pptx VIP
- 铁工电〔2023〕54号 国铁集团关于印发《普速铁路工务安全规则》的通知.docx VIP
- 新人教版(部编)一年级语文上册《文语文园地六和大人一起读》优质课教案_20.pdf
- 燃气管道第三方施工管理安全技术规范.pdf
文档评论(0)