Triboacoustic Localization for Mobile Device: Improving Accuracy & Noise Clustering

被引:0
|
作者
Leong, Yeng Weng [1 ,2 ]
Seki, Hiroaki [1 ]
Kamiya, Yoshitsugu [1 ]
Hikizu, Masatoshi [1 ]
机构
[1] Kanazawa Univ, Grad Sch Nat Sci & Technol, Kakuma Machi, Kanazawa, Ishikawa 9201192, Japan
[2] Univ Tenaga Nas, Dept Elect & Commun Engn, Kajang 43000, Selangor, Malaysia
关键词
mobile device input method; noise segregator; triboacoustics; gradient descent method;
D O I
10.20965/jrm.2015.p0200
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
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.
引用
收藏
页码:200 / 207
页数:8
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