OJA  Vol.1 No.2 , September 2011
In-Solid Acoustic Source Localization Using Likelihood Mapping Algorithm
Abstract: The significant challenge in human computer interaction is to create tangible interfaces that will make digital world accessible through augmented physical surfaces like walls and windows. In this paper, various acoustic source localization methods are proposed which have the potential to covert a physical object into a tracking sensitive interface. The Spatial Likelihood method has been used to locate acoustic source in real time by summing the spatial likelihood from all sensors. The source location is obtained from searching the maximum in the likelihood map. The data collected from the sensors is pre-processed and filtered for improvement of the accuracy of source localization. Finally a sensor fusion algorithm based on least squared error is presented to minimize the error while positioning the source. Promising results have been achieved experimentally for the application of acoustic tangible interfaces.
Cite this paper: nullM. Yang, M. Al-Kutubi and D. Pham, "In-Solid Acoustic Source Localization Using Likelihood Mapping Algorithm," Open Journal of Acoustics, Vol. 1 No. 2, 2011, pp. 34-40. doi: 10.4236/oja.2011.12005.

[1]   W. Rolshofen, D. T. Pham, M. Yang, Z. Wang, Z. Ji and M. Al-Kutubi, “New Approaches in Computer-Human Interaction with Tangible Acoustic Interfaces,” IPROMs 2005 Virtual Conference, May 2005.

[2]   X. Wang, Z. Wang and B. O’Dea, “A TOA-Based Location Algorithm Due to NLOS Propagation,” IEEE Transactions on Vehicular Technology, Vol. 52, No.1, January 2003, pp. 112-116.

[3]   S. Birchfield and D. Gillmor, “Fast Bayesian Acoustic Localization,” Proceedings of the IEEE International Conference on Speech and Signal Processing, Florida, Vol. 2, May 2002, pp. 1793-1796.

[4]   P. Aarabi and S. Zaky, “Robust Sound Localization Using Multi-Source Audiovisual Information Fusion,” Elsevier, Information Fusion, Vol. 2, No. 3, 2001, pp. 209- 223. doi:10.1016/S1566-2535(01)00035-5

[5]   C. Knapp and G. Carter, “The Generalized Correlation Method for Estimation of Time Delay”, IEEE Transactions on Acoustics, Speech, & Signal Processing Vol. 24, No. 4, 1976, pp. 320-327. doi:10.1109/TASSP.1976.1162830

[6]   M. Omologo and P. Svaizer, “Acoustic Localization in Noisy and Reverberant Environment Using CSP Analysis,” Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing Conference, Atlanta, Vol. 2, 7-10 May 1996, pp. 921-924.

[7]   J. Valin, F. Michaud, J. Rouat, D. LCtoumeau, “Robust Sound Source Localization Using a Microphone Array on a Mobile Robot,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, 27-31 October 2003, Vol. 2, pp. 1228- 1233.

[8]   J. Bendat and A. Piersol, “Random Data,” John Wiley & Sons, 1986.

[9]   A. Mertins, “Signal Analysis,” John Wiley & Sons, 1999.

[10]   L. Danfeng and S. Levinson, “A Linear Phase Unwrapping Method for Binaural Sound Source Localization on a Robot,” Proceedings of the IEEE Conference on Robotics and Automation, Washington, May 2002, pp. 19- 23.

[11]   H. Poor, “An introduction to Signal Detection and Estimation,” 2nd Edition, Springer, New York, Berlin, Heidelberg, Hong Kong, London, Milan, Paris, Tokyo, 1994.

[12]   N. Gershenfeld, “The Nature of Mathematical Modeling”, Cambridge University Press, Cambridge, 1999.