Triboacoustic localization for mobile device: Improving accuracy & noise clustering

Gradient methods; Gradient Descent method; Input methods; Inverse relationship; Noise clustering; Noise interference; Noise segregator; Sound source segregation; Triboacoustics; Inverse problems

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Bibliographic Details
Main Authors: Leong Y.W., Seki H., Kamiya Y., Hikizu M.
Other Authors: 26326032700
Format: Article
Published: Fuji Technology Press 2023
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spelling my.uniten.dspace-225552023-05-29T14:01:58Z Triboacoustic localization for mobile device: Improving accuracy & noise clustering Leong Y.W. Seki H. Kamiya Y. Hikizu M. 26326032700 7202492680 35508847400 6506780601 Gradient methods; Gradient Descent method; Input methods; Inverse relationship; Noise clustering; Noise interference; Noise segregator; Sound source segregation; Triboacoustics; Inverse problems Mobile 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. Final 2023-05-29T06:01:58Z 2023-05-29T06:01:58Z 2015 Article 10.20965/jrm.2015.p0200 2-s2.0-84927924230 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927924230&doi=10.20965%2fjrm.2015.p0200&partnerID=40&md5=72550bcfbf3785b6f9d134e8a3cd6828 https://irepository.uniten.edu.my/handle/123456789/22555 27 2 200 207 All Open Access, Gold Fuji Technology Press Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Gradient methods; Gradient Descent method; Input methods; Inverse relationship; Noise clustering; Noise interference; Noise segregator; Sound source segregation; Triboacoustics; Inverse problems
author2 26326032700
author_facet 26326032700
Leong Y.W.
Seki H.
Kamiya Y.
Hikizu M.
format Article
author Leong Y.W.
Seki H.
Kamiya Y.
Hikizu M.
spellingShingle Leong Y.W.
Seki H.
Kamiya Y.
Hikizu M.
Triboacoustic localization for mobile device: Improving accuracy & noise clustering
author_sort Leong Y.W.
title Triboacoustic localization for mobile device: Improving accuracy & noise clustering
title_short Triboacoustic localization for mobile device: Improving accuracy & noise clustering
title_full Triboacoustic localization for mobile device: Improving accuracy & noise clustering
title_fullStr Triboacoustic localization for mobile device: Improving accuracy & noise clustering
title_full_unstemmed Triboacoustic localization for mobile device: Improving accuracy & noise clustering
title_sort triboacoustic localization for mobile device: improving accuracy & noise clustering
publisher Fuji Technology Press
publishDate 2023
_version_ 1806423422619615232
score 13.211869