Publication: Triboacoustic localization for mobile device: Improving accuracy & noise clustering
Date
2015
Authors
Leong Y.W.
Seki H.
Kamiya Y.
Hikizu M.
Journal Title
Journal ISSN
Volume Title
Publisher
Fuji Technology Press
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.
Description
Gradient methods; Gradient Descent method; Input methods; Inverse relationship; Noise clustering; Noise interference; Noise segregator; Sound source segregation; Triboacoustics; Inverse problems