A Hybrid Brain-Computer Interface-Based Mail Client
Brain-computer interface-based communication plays an important role in brain-computer interface (BCI) applications; electronic mail is one of the most common communication tools. In this study, we propose a hybrid BCI-based mail client that implements electronic mail communication by means of real-...
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| Veröffentlicht in: | Computational and mathematical methods in medicine 2013-01, Vol.2013 (2013), p.1-9 |
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| container_title | Computational and mathematical methods in medicine |
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| creator | Yu, Tianyou Li, Yuanqing Long, Jinyi Li, Feng |
| description | Brain-computer interface-based communication plays an important role in brain-computer interface (BCI) applications; electronic mail is one of the most common communication tools. In this study, we propose a hybrid BCI-based mail client that implements electronic mail communication by means of real-time classification of multimodal features extracted from scalp electroencephalography (EEG). With this BCI mail client, users can receive, read, write, and attach files to their mail. Using a BCI mouse that utilizes hybrid brain signals, that is, motor imagery and P300 potential, the user can select and activate the function keys and links on the mail client graphical user interface (GUI). An adaptive P300 speller is employed for text input. The system has been tested with 6 subjects, and the experimental results validate the efficacy of the proposed method. |
| doi_str_mv | 10.1155/2013/750934 |
| format | Article |
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In this study, we propose a hybrid BCI-based mail client that implements electronic mail communication by means of real-time classification of multimodal features extracted from scalp electroencephalography (EEG). With this BCI mail client, users can receive, read, write, and attach files to their mail. Using a BCI mouse that utilizes hybrid brain signals, that is, motor imagery and P300 potential, the user can select and activate the function keys and links on the mail client graphical user interface (GUI). An adaptive P300 speller is employed for text input. The system has been tested with 6 subjects, and the experimental results validate the efficacy of the proposed method.</description><identifier>ISSN: 1748-670X</identifier><identifier>EISSN: 1748-6718</identifier><identifier>DOI: 10.1155/2013/750934</identifier><identifier>PMID: 23690880</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Puplishing Corporation</publisher><subject>Adult ; Brain-Computer Interfaces - statistics & numerical data ; Computational Biology ; Electroencephalography - statistics & numerical data ; Electronic Mail ; Event-Related Potentials, P300 - physiology ; Humans ; Young Adult</subject><ispartof>Computational and mathematical methods in medicine, 2013-01, Vol.2013 (2013), p.1-9</ispartof><rights>Copyright © 2013 Tianyou Yu et al.</rights><rights>Copyright © 2013 Tianyou Yu et al. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-8a342208e3182649fbdfd4b7a8d45be0ba96d86ce6108d3fa70dbc704f623ace3</citedby><cites>FETCH-LOGICAL-c438t-8a342208e3182649fbdfd4b7a8d45be0ba96d86ce6108d3fa70dbc704f623ace3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3652178/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3652178/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23690880$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Hu, Dewen</contributor><creatorcontrib>Yu, Tianyou</creatorcontrib><creatorcontrib>Li, Yuanqing</creatorcontrib><creatorcontrib>Long, Jinyi</creatorcontrib><creatorcontrib>Li, Feng</creatorcontrib><title>A Hybrid Brain-Computer Interface-Based Mail Client</title><title>Computational and mathematical methods in medicine</title><addtitle>Comput Math Methods Med</addtitle><description>Brain-computer interface-based communication plays an important role in brain-computer interface (BCI) applications; electronic mail is one of the most common communication tools. In this study, we propose a hybrid BCI-based mail client that implements electronic mail communication by means of real-time classification of multimodal features extracted from scalp electroencephalography (EEG). With this BCI mail client, users can receive, read, write, and attach files to their mail. Using a BCI mouse that utilizes hybrid brain signals, that is, motor imagery and P300 potential, the user can select and activate the function keys and links on the mail client graphical user interface (GUI). An adaptive P300 speller is employed for text input. The system has been tested with 6 subjects, and the experimental results validate the efficacy of the proposed method.</description><subject>Adult</subject><subject>Brain-Computer Interfaces - statistics & numerical data</subject><subject>Computational Biology</subject><subject>Electroencephalography - statistics & numerical data</subject><subject>Electronic Mail</subject><subject>Event-Related Potentials, P300 - physiology</subject><subject>Humans</subject><subject>Young Adult</subject><issn>1748-670X</issn><issn>1748-6718</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><recordid>eNqFkM1LwzAYh4MoTqcnz0qPotTls0kvwlbUDSZeFLyFtEldpB8zaZX993Z0Fj15efNCHn6_lweAMwRvEGJsgiEiE85gTOgeOEKcijDiSOwPO3wdgWPv3yFkiDN0CEaYRDEUAh4BMg3mm9RZHcycslWY1OW6bYwLFlU3c5WZcKa80cGjskWQFNZUzQk4yFXhzenuHYOX-7vnZB4unx4WyXQZZpSIJhSKUIyhMAQJHNE4T3WuacqV0JSlBqYqjrSIMhMhKDTJFYc6zTikeYRJV0zG4LbPXbdpaXTWVTtVyLWzpXIbWSsr__5UdiXf6k9JIoYRF13A5S7A1R-t8Y0src9MUajK1K2XiDASCybgFr3u0czV3juTDzUIyq1mudUse80dffH7soH98doBVz2wspVWX_aftPMeNh1icjXANGYCY_INh5WN5A</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Yu, Tianyou</creator><creator>Li, Yuanqing</creator><creator>Long, Jinyi</creator><creator>Li, Feng</creator><general>Hindawi Puplishing Corporation</general><general>Hindawi Publishing Corporation</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20130101</creationdate><title>A Hybrid Brain-Computer Interface-Based Mail Client</title><author>Yu, Tianyou ; Li, Yuanqing ; Long, Jinyi ; Li, Feng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-8a342208e3182649fbdfd4b7a8d45be0ba96d86ce6108d3fa70dbc704f623ace3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Brain-Computer Interfaces - statistics & numerical data</topic><topic>Computational Biology</topic><topic>Electroencephalography - statistics & numerical data</topic><topic>Electronic Mail</topic><topic>Event-Related Potentials, P300 - physiology</topic><topic>Humans</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Tianyou</creatorcontrib><creatorcontrib>Li, Yuanqing</creatorcontrib><creatorcontrib>Long, Jinyi</creatorcontrib><creatorcontrib>Li, Feng</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Computational and mathematical methods in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Tianyou</au><au>Li, Yuanqing</au><au>Long, Jinyi</au><au>Li, Feng</au><au>Hu, Dewen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Hybrid Brain-Computer Interface-Based Mail Client</atitle><jtitle>Computational and mathematical methods in medicine</jtitle><addtitle>Comput Math Methods Med</addtitle><date>2013-01-01</date><risdate>2013</risdate><volume>2013</volume><issue>2013</issue><spage>1</spage><epage>9</epage><pages>1-9</pages><issn>1748-670X</issn><eissn>1748-6718</eissn><abstract>Brain-computer interface-based communication plays an important role in brain-computer interface (BCI) applications; electronic mail is one of the most common communication tools. In this study, we propose a hybrid BCI-based mail client that implements electronic mail communication by means of real-time classification of multimodal features extracted from scalp electroencephalography (EEG). With this BCI mail client, users can receive, read, write, and attach files to their mail. Using a BCI mouse that utilizes hybrid brain signals, that is, motor imagery and P300 potential, the user can select and activate the function keys and links on the mail client graphical user interface (GUI). An adaptive P300 speller is employed for text input. The system has been tested with 6 subjects, and the experimental results validate the efficacy of the proposed method.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Puplishing Corporation</pub><pmid>23690880</pmid><doi>10.1155/2013/750934</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1748-670X |
| ispartof | Computational and mathematical methods in medicine, 2013-01, Vol.2013 (2013), p.1-9 |
| issn | 1748-670X 1748-6718 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3652178 |
| source | MEDLINE; PubMed Central Open Access; Wiley Online Library Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection |
| subjects | Adult Brain-Computer Interfaces - statistics & numerical data Computational Biology Electroencephalography - statistics & numerical data Electronic Mail Event-Related Potentials, P300 - physiology Humans Young Adult |
| title | A Hybrid Brain-Computer Interface-Based Mail Client |
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