DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nam, Y | - |
dc.contributor.author | Zhao, QB | - |
dc.contributor.author | Cichocki, A | - |
dc.contributor.author | Choi, S | - |
dc.date.accessioned | 2016-03-31T09:17:02Z | - |
dc.date.available | 2016-03-31T09:17:02Z | - |
dc.date.created | 2012-01-18 | - |
dc.date.issued | 2012-01 | - |
dc.identifier.issn | 0018-9294 | - |
dc.identifier.other | 2012-OAK-0000024584 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/16945 | - |
dc.description.abstract | Glossokinetic potentials (GKPs) are electric potential responses generated by tongue movement. In this study, we use these GKPs to automatically detect and estimate tongue positions, and develop a tongue-machine interface. We show that a specific configuration of electrode placement yields discriminative GKPs that vary depending on the direction of the tongue. We develop a linear model to determine the direction of tongue from GKPs, where we seek linear features that are robust to a baseline drift problem by maximizing the ratio of intertask covariance to intersession covariance. We apply our method to the task of wheelchair control, developing a tongue-machine interface for wheelchair control, referred to as tongue-rudder. A teeth clenching detection system, using electromyography, was also implemented in the system in order to assign teeth clenching as the stop command. Experiments on off-line cursor control and online wheelchair control confirm the unique advantages of our method, such as: 1) noninvasiveness, 2) fine controllability, and 3) ability to integrate with other EEG-based interface systems. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | Institute of Electrical Electronics Engineers | - |
dc.relation.isPartOf | IEEE Transactions on Biomedical Engineering | - |
dc.subject | Electric wheelchair control | - |
dc.subject | glossokinetic potentials (GKPs) | - |
dc.subject | tongue-machine interface | - |
dc.subject | COMPUTER-INTERFACE | - |
dc.title | Tongue-Rudder: A glossokinetic-potential-based tongue-machine interface | - |
dc.type | Article | - |
dc.contributor.college | 정보전자융합공학부 | - |
dc.identifier.doi | 10.1109/TBME.2011.2174058 | - |
dc.author.google | Nam Y., Zhao Q., Cichocki A., Choi S. | - |
dc.relation.volume | 59 | - |
dc.relation.issue | 1 | - |
dc.relation.startpage | 290 | - |
dc.relation.lastpage | 299 | - |
dc.contributor.id | 10077620 | - |
dc.relation.journal | IEEE Transactions on Biomedical Engineering | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | IEEE Transactions on Biomedical Engineering, v.59, no.1, pp.290 - 299 | - |
dc.identifier.wosid | 000298327100042 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 299 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 290 | - |
dc.citation.title | IEEE Transactions on Biomedical Engineering | - |
dc.citation.volume | 59 | - |
dc.contributor.affiliatedAuthor | Choi, S | - |
dc.identifier.scopusid | 2-s2.0-84555218311 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 12 | - |
dc.description.scptc | 12 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Electric wheelchair control | - |
dc.subject.keywordAuthor | glossokinetic potentials (GKPs) | - |
dc.subject.keywordAuthor | tongue-machine interface | - |
dc.relation.journalWebOfScienceCategory | Engineering, Biomedical | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
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