Triboacoustic localization for mobile device

Improving accuracy & noise clustering

Yeng Weng Leong, Hiroaki Seki, Yoshitsugu Kamiya, Masatoshi Hikizu

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)200-207
Number of pages8
JournalJournal of Robotics and Mechatronics
Volume27
Issue number2
Publication statusPublished - 2015

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Mobile devices
Acoustic waves
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

Leong, Yeng Weng ; Seki, Hiroaki ; Kamiya, Yoshitsugu ; Hikizu, Masatoshi. / Triboacoustic localization for mobile device : Improving accuracy & noise clustering. In: Journal of Robotics and Mechatronics. 2015 ; Vol. 27, No. 2. pp. 200-207.
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Triboacoustic localization for mobile device : Improving accuracy & noise clustering. / Leong, Yeng Weng; Seki, Hiroaki; Kamiya, Yoshitsugu; Hikizu, Masatoshi.

In: Journal of Robotics and Mechatronics, Vol. 27, No. 2, 2015, p. 200-207.

Research output: Contribution to journalArticle

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