
Proceedings Paper
Acoustic source localization using time-difference of arrival and neural-network analysisFormat | Member Price | Non-Member Price |
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Paper Abstract
The developing embedded technology requires revolutions in human-machine interaction. In this paper, we propose a
novel method using localization of the taping sound on the table to replace the keyboard as manual input device. The
method is applicable with a quad-channel-array collection of acoustic signals, from which the time-of-arrival differences
and the position information could be estimated. In practice, as our table is in a limited size and the material properties
are complex, the traditional localization algorithm based on time-of-arrival differences contains a sizable margin for error.
Furthermore, we use neural-network analysis to improve recognition accuracy. Then experiments and simulations are
carried out to verify this signal processing algorithm.
Paper Details
Date Published: 14 March 2013
PDF: 5 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87686V (14 March 2013); doi: 10.1117/12.2008191
Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)
PDF: 5 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87686V (14 March 2013); doi: 10.1117/12.2008191
Show Author Affiliations
Nan Jiang, Shanghai Jiaotong Univ. (China)
Jiancheng Dong, Shanghai Jiaotong Univ. (China)
Jiancheng Dong, Shanghai Jiaotong Univ. (China)
Ren Dong Ying, Shanghai Jiaotong Univ. (China)
Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)
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