DocumentCode
2787739
Title
Localization of acoustic source on solids: A linear predictive coding based algorithm for location template matching
Author
Yap, XueXin ; Khong, Andy W H ; Gan, Woon-Seng
Author_Institution
Nanyang Technol. Univ., Singapore, Singapore
fYear
2010
fDate
14-19 March 2010
Firstpage
2490
Lastpage
2493
Abstract
Location template matching (LTM) is a source localization technique in solids that is robust to dispersion and multipath. This is possible since LTM compares the input with a database of signals made at known locations. With this in place, it is possible to employ LTM in situations where the surface of interest takes an irregular shape. However, one of the existing LTM approaches uses crosscorrelation to compare the input and the database. It should be noted that if any two of the known locations stored in the database are too close, the cross-correlation method may have difficulties differentiating between signals generated from the neighboring points. To address this, we propose an algorithm which employs the linear predictive coding (LPC) that takes into account the dominant frequencies of a received signal. Using this approach, we show that the proposed algorithm is able to improve LTM´s source localization accuracy under a real environment in the context of source localization for a touch interface.
Keywords
human computer interaction; linear predictive coding; acoustic source localization; linear predictive coding; location template matching; user interfaces; Databases; Fingers; Frequency; Human computer interaction; Linear predictive coding; Mice; Prediction algorithms; Signal processing; Signal processing algorithms; Solids; correlation; linear predictive coding; location template matching; user interfaces;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5494897
Filename
5494897
Link To Document