14 March 2013 Acoustic source localization using time-difference of arrival and neural-network analysis
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Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87686V (2013) https://doi.org/10.1117/12.2008191
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore
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.
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Nan Jiang, Nan Jiang, Jiancheng Dong, Jiancheng Dong, Ren Dong Ying, Ren Dong Ying, } "Acoustic source localization using time-difference of arrival and neural-network analysis", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87686V (14 March 2013); doi: 10.1117/12.2008191; https://doi.org/10.1117/12.2008191
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