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JRM Vol.27 No.2 pp. 200-207
doi: 10.20965/jrm.2015.p0200
(2015)

Paper:

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Triboacoustic Localization for Mobile Device: Improving Accuracy & Noise Clustering

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

*Graduate School of Natural Science and Technology, Kanazawa University
Kakuma-machi, Kanazawa, Ishikawa 920-1192, Japan

**Department of Electronics and Communications Engineering, Universiti Tenaga Nasional
Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia

Received:
October 11, 2014
Accepted:
January 15, 2015
Published:
April 20, 2015
Creative Commons License
Keywords:
mobile device input method, noise segregator, triboacoustics, gradient descent method
Abstract
Mobile localization: grouping
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.
Cite this article as:
Y. Leong, H. Seki, Y. Kamiya, and M. Hikizu, “Triboacoustic Localization for Mobile Device: Improving Accuracy & Noise Clustering,” J. Robot. Mechatron., Vol.27 No.2, pp. 200-207, 2015.
Data files:
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