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Triboacoustic localization for mobile device: Improving accuracy & noise clustering

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dc.contributor.authorLeong Y.W.en_US
dc.contributor.authorSeki H.en_US
dc.contributor.authorKamiya Y.en_US
dc.contributor.authorHikizu M.en_US
dc.contributor.authorid26326032700en_US
dc.contributor.authorid7202492680en_US
dc.contributor.authorid35508847400en_US
dc.contributor.authorid6506780601en_US
dc.date.accessioned2023-05-29T06:01:58Z
dc.date.available2023-05-29T06:01:58Z
dc.date.issued2015
dc.descriptionGradient methods; Gradient Descent method; Input methods; Inverse relationship; Noise clustering; Noise interference; Noise segregator; Sound source segregation; Triboacoustics; Inverse problemsen_US
dc.description.abstractMobile devices are caught in an inverse relationship between mobility and ease of use. This paper presents incremental technology related to a previously proposed method of mobile yet easy-to-use input using triboacoustic signals generated from the action of a user tracing shapes on surfaces in environment. Mobile devices must function in various environments, thus requiring that they be immune to noise interference. We propose an improvement in accuracy and automated multiple sound source segregation supported by experiments evidencing the proposal�s effectiveness, results of which show the proposal�s accuracy and capability have merit and should be pursued further. � 2015, Journal of Robotics and Mechatronics. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.20965/jrm.2015.p0200
dc.identifier.epage207
dc.identifier.issue2
dc.identifier.scopus2-s2.0-84927924230
dc.identifier.spage200
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84927924230&doi=10.20965%2fjrm.2015.p0200&partnerID=40&md5=72550bcfbf3785b6f9d134e8a3cd6828
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22555
dc.identifier.volume27
dc.publisherFuji Technology Pressen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleJournal of Robotics and Mechatronics
dc.titleTriboacoustic localization for mobile device: Improving accuracy & noise clusteringen_US
dc.typeArticleen_US
dspace.entity.typePublication
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