DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hyunseok | ko |
dc.contributor.author | Chang, Seong Ju | ko |
dc.date.accessioned | 2019-04-15T15:30:04Z | - |
dc.date.available | 2019-04-15T15:30:04Z | - |
dc.date.created | 2013-11-05 | - |
dc.date.issued | 2013-06 | - |
dc.identifier.citation | IEEE SENSORS JOURNAL, v.13, no.6, pp.2084 - 2093 | - |
dc.identifier.issn | 1530-437X | - |
dc.identifier.uri | http://hdl.handle.net/10203/254987 | - |
dc.description.abstract | A touch floor system, based on force sensitive resistors, capable of identifying user position and motion with high resolution, is proposed in this paper. A particle swarm optimization-based neural network (NN), initialized with the output of a Levenberg-Marquardt-based NN, allows inaccuracy drawbacks of the trilateration method in position estimation due to sensor's nonlinearity to be reduced to one fifth under non-stationary conditions. Furthermore, position-tracking accuracy is improved by a Kalman filter and a motion recognition algorithm is suggested for mimicking computer mouse clicks. Experimental results show non-uniformly sized icons displayed with high-resolution coordinates can be selected on the floor by the participants of diversified weights. This proves the feasibility of a high-resolution touch floor interface scalable for large area, by facilitating digitally mediated human-architecture interactions. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | FORCE-SENSING RESISTORS | - |
dc.subject | LOCATION | - |
dc.subject | ENVIRONMENT | - |
dc.subject | ALGORITHM | - |
dc.subject | DESIGN | - |
dc.title | High-Resolution Touch Floor System Using Particle Swarm Optimization Neural Network | - |
dc.type | Article | - |
dc.identifier.wosid | 000318173400007 | - |
dc.identifier.scopusid | 2-s2.0-84876795629 | - |
dc.type.rims | ART | - |
dc.citation.volume | 13 | - |
dc.citation.issue | 6 | - |
dc.citation.beginningpage | 2084 | - |
dc.citation.endingpage | 2093 | - |
dc.citation.publicationname | IEEE SENSORS JOURNAL | - |
dc.identifier.doi | 10.1109/JSEN.2013.2248142 | - |
dc.contributor.nonIdAuthor | Kim, Hyunseok | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Force sensors | - |
dc.subject.keywordAuthor | neural networks (NNs) | - |
dc.subject.keywordAuthor | particle swarm optimization | - |
dc.subject.keywordAuthor | sensor systems and applications | - |
dc.subject.keywordPlus | FORCE-SENSING RESISTORS | - |
dc.subject.keywordPlus | LOCATION | - |
dc.subject.keywordPlus | ENVIRONMENT | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordPlus | DESIGN | - |
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