Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/6296
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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.date.accessioned2017-12-08T09:15:11Z-
dc.date.available2017-12-08T09:15:11Z-
dc.date.issued2015-
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.language.isoen_USen_US
dc.relation.ispartofTriboacoustic localization for mobile device: Improving accuracy & noise clustering. Journal of Robotics and Mechatronics, 27(2), 200-207en_US
dc.titleTriboacoustic localization for mobile device: Improving accuracy & noise clusteringen_US
dc.typeArticleen_US
dc.identifier.doihttps://pure.uniten.edu.my/en/publications/triboacoustic-localization-for-mobile-device-improving-accuracy-a-
item.cerifentitytypePublications-
item.languageiso639-1en_US-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.openairetypeArticle-
Appears in Collections:COE Scholarly Publication
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