Brain-Computer Interface for high-level control of rehabilitation robotic systems
In this work, a brain-computer interface (BCI) based on steady-state visual evoked potentials (SSVEP) is presented as an input device for the human machine interface (HMI) of the semi-autonomous robot FRIEND II. The role of the BCI is to translate high-level requests from the user into control comma...
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 625 |
|---|---|
| container_issue | |
| container_start_page | 619 |
| container_title | |
| container_volume | |
| creator | Valbuena, D. Cyriacks, M. Friman, O. Volosyak, I. Graser, A. |
| description | In this work, a brain-computer interface (BCI) based on steady-state visual evoked potentials (SSVEP) is presented as an input device for the human machine interface (HMI) of the semi-autonomous robot FRIEND II. The role of the BCI is to translate high-level requests from the user into control commands for the FRIEND II system. In the current application, the BCI is used to navigate a menu system and to select commands such as pouring a beverage into a glass. The low-level control of the test platform, the rehabilitation robot FRIEND II, is executed by the control architecture MASSiVE, which in turn is served by a planning instance, an environment model and a set of sensors (e.g., machine vision) and actors. The BCI is introduced as a step towards the goal of providing disabled users with at least 1.5 hours independence from care givers. |
| doi_str_mv | 10.1109/ICORR.2007.4428489 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4428489</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4428489</ieee_id><sourcerecordid>4428489</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-505c89e5bfd178628064378ff7c659d5b6ffbe52ab032e0b18e0c69cf7459afc3</originalsourceid><addsrcrecordid>eNpNkMtKAzEYRuMNLLUvoJu8wNT_zySTZKmDl4FCsei6JGliI9NJyUShb69gBTfnWxz4FoeQa4Q5Iujbrl2uVnMGIOecM8WVPiEzLRVyxjnWDPCUTFBzUUkNePbfoRbnf05pdUlm4_gBACgbjkxMyMt9NnGo2rTbfxafaTf8MBjnaUiZbuP7tur9l--pS0PJqacp0Oy3xsY-FlNiGmhONpXo6HgYi9-NV-QimH70s-NOydvjw2v7XC2WT117t6giSlEqAcIp7YUNG5SqYQoaXksVgnSN0BthmxCsF8xYqJkHi8qDa7QLkgttgqun5Ob3N3rv1_scdyYf1sdA9TfOPVY-</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Brain-Computer Interface for high-level control of rehabilitation robotic systems</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Valbuena, D. ; Cyriacks, M. ; Friman, O. ; Volosyak, I. ; Graser, A.</creator><creatorcontrib>Valbuena, D. ; Cyriacks, M. ; Friman, O. ; Volosyak, I. ; Graser, A.</creatorcontrib><description>In this work, a brain-computer interface (BCI) based on steady-state visual evoked potentials (SSVEP) is presented as an input device for the human machine interface (HMI) of the semi-autonomous robot FRIEND II. The role of the BCI is to translate high-level requests from the user into control commands for the FRIEND II system. In the current application, the BCI is used to navigate a menu system and to select commands such as pouring a beverage into a glass. The low-level control of the test platform, the rehabilitation robot FRIEND II, is executed by the control architecture MASSiVE, which in turn is served by a planning instance, an environment model and a set of sensors (e.g., machine vision) and actors. The BCI is introduced as a step towards the goal of providing disabled users with at least 1.5 hours independence from care givers.</description><identifier>ISSN: 1945-7898</identifier><identifier>ISBN: 9781424413195</identifier><identifier>ISBN: 1424413192</identifier><identifier>EISSN: 1945-7901</identifier><identifier>EISBN: 9781424413201</identifier><identifier>EISBN: 1424413206</identifier><identifier>DOI: 10.1109/ICORR.2007.4428489</identifier><language>eng</language><publisher>IEEE</publisher><subject>BCI ; Brain computer interfaces ; Control systems ; Electroencephalography (EEG) ; Glass ; Humans ; Navigation ; Rehabilitation robotics ; Robot control ; Robot sensing systems ; service robotics ; SSVEP ; Steady-state ; Testing</subject><ispartof>2007 IEEE 10th International Conference on Rehabilitation Robotics, 2007, p.619-625</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4428489$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4428489$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Valbuena, D.</creatorcontrib><creatorcontrib>Cyriacks, M.</creatorcontrib><creatorcontrib>Friman, O.</creatorcontrib><creatorcontrib>Volosyak, I.</creatorcontrib><creatorcontrib>Graser, A.</creatorcontrib><title>Brain-Computer Interface for high-level control of rehabilitation robotic systems</title><title>2007 IEEE 10th International Conference on Rehabilitation Robotics</title><addtitle>ICORR</addtitle><description>In this work, a brain-computer interface (BCI) based on steady-state visual evoked potentials (SSVEP) is presented as an input device for the human machine interface (HMI) of the semi-autonomous robot FRIEND II. The role of the BCI is to translate high-level requests from the user into control commands for the FRIEND II system. In the current application, the BCI is used to navigate a menu system and to select commands such as pouring a beverage into a glass. The low-level control of the test platform, the rehabilitation robot FRIEND II, is executed by the control architecture MASSiVE, which in turn is served by a planning instance, an environment model and a set of sensors (e.g., machine vision) and actors. The BCI is introduced as a step towards the goal of providing disabled users with at least 1.5 hours independence from care givers.</description><subject>BCI</subject><subject>Brain computer interfaces</subject><subject>Control systems</subject><subject>Electroencephalography (EEG)</subject><subject>Glass</subject><subject>Humans</subject><subject>Navigation</subject><subject>Rehabilitation robotics</subject><subject>Robot control</subject><subject>Robot sensing systems</subject><subject>service robotics</subject><subject>SSVEP</subject><subject>Steady-state</subject><subject>Testing</subject><issn>1945-7898</issn><issn>1945-7901</issn><isbn>9781424413195</isbn><isbn>1424413192</isbn><isbn>9781424413201</isbn><isbn>1424413206</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNkMtKAzEYRuMNLLUvoJu8wNT_zySTZKmDl4FCsei6JGliI9NJyUShb69gBTfnWxz4FoeQa4Q5Iujbrl2uVnMGIOecM8WVPiEzLRVyxjnWDPCUTFBzUUkNePbfoRbnf05pdUlm4_gBACgbjkxMyMt9NnGo2rTbfxafaTf8MBjnaUiZbuP7tur9l--pS0PJqacp0Oy3xsY-FlNiGmhONpXo6HgYi9-NV-QimH70s-NOydvjw2v7XC2WT117t6giSlEqAcIp7YUNG5SqYQoaXksVgnSN0BthmxCsF8xYqJkHi8qDa7QLkgttgqun5Ob3N3rv1_scdyYf1sdA9TfOPVY-</recordid><startdate>200706</startdate><enddate>200706</enddate><creator>Valbuena, D.</creator><creator>Cyriacks, M.</creator><creator>Friman, O.</creator><creator>Volosyak, I.</creator><creator>Graser, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200706</creationdate><title>Brain-Computer Interface for high-level control of rehabilitation robotic systems</title><author>Valbuena, D. ; Cyriacks, M. ; Friman, O. ; Volosyak, I. ; Graser, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-505c89e5bfd178628064378ff7c659d5b6ffbe52ab032e0b18e0c69cf7459afc3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>BCI</topic><topic>Brain computer interfaces</topic><topic>Control systems</topic><topic>Electroencephalography (EEG)</topic><topic>Glass</topic><topic>Humans</topic><topic>Navigation</topic><topic>Rehabilitation robotics</topic><topic>Robot control</topic><topic>Robot sensing systems</topic><topic>service robotics</topic><topic>SSVEP</topic><topic>Steady-state</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Valbuena, D.</creatorcontrib><creatorcontrib>Cyriacks, M.</creatorcontrib><creatorcontrib>Friman, O.</creatorcontrib><creatorcontrib>Volosyak, I.</creatorcontrib><creatorcontrib>Graser, A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Valbuena, D.</au><au>Cyriacks, M.</au><au>Friman, O.</au><au>Volosyak, I.</au><au>Graser, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Brain-Computer Interface for high-level control of rehabilitation robotic systems</atitle><btitle>2007 IEEE 10th International Conference on Rehabilitation Robotics</btitle><stitle>ICORR</stitle><date>2007-06</date><risdate>2007</risdate><spage>619</spage><epage>625</epage><pages>619-625</pages><issn>1945-7898</issn><eissn>1945-7901</eissn><isbn>9781424413195</isbn><isbn>1424413192</isbn><eisbn>9781424413201</eisbn><eisbn>1424413206</eisbn><abstract>In this work, a brain-computer interface (BCI) based on steady-state visual evoked potentials (SSVEP) is presented as an input device for the human machine interface (HMI) of the semi-autonomous robot FRIEND II. The role of the BCI is to translate high-level requests from the user into control commands for the FRIEND II system. In the current application, the BCI is used to navigate a menu system and to select commands such as pouring a beverage into a glass. The low-level control of the test platform, the rehabilitation robot FRIEND II, is executed by the control architecture MASSiVE, which in turn is served by a planning instance, an environment model and a set of sensors (e.g., machine vision) and actors. The BCI is introduced as a step towards the goal of providing disabled users with at least 1.5 hours independence from care givers.</abstract><pub>IEEE</pub><doi>10.1109/ICORR.2007.4428489</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1945-7898 |
| ispartof | 2007 IEEE 10th International Conference on Rehabilitation Robotics, 2007, p.619-625 |
| issn | 1945-7898 1945-7901 |
| language | eng |
| recordid | cdi_ieee_primary_4428489 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | BCI Brain computer interfaces Control systems Electroencephalography (EEG) Glass Humans Navigation Rehabilitation robotics Robot control Robot sensing systems service robotics SSVEP Steady-state Testing |
| title | Brain-Computer Interface for high-level control of rehabilitation robotic systems |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T12%3A40%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Brain-Computer%20Interface%20for%20high-level%20control%20of%20rehabilitation%20robotic%20systems&rft.btitle=2007%20IEEE%2010th%20International%20Conference%20on%20Rehabilitation%20Robotics&rft.au=Valbuena,%20D.&rft.date=2007-06&rft.spage=619&rft.epage=625&rft.pages=619-625&rft.issn=1945-7898&rft.eissn=1945-7901&rft.isbn=9781424413195&rft.isbn_list=1424413192&rft_id=info:doi/10.1109/ICORR.2007.4428489&rft_dat=%3Cieee_6IE%3E4428489%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424413201&rft.eisbn_list=1424413206&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4428489&rfr_iscdi=true |