Please use this identifier to cite or link to this item:
http://dspace2020.uniten.edu.my:8080/handle/123456789/6296
Title: | Triboacoustic localization for mobile device: Improving accuracy & noise clustering | Authors: | Leong, Y.W. Seki, H. Kamiya, Y. Hikizu, M. |
Issue Date: | 2015 | 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. © 2015, Journal of Robotics and Mechatronics. All rights reserved. |
Appears in Collections: | COE Scholarly Publication |
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.