DocumentCode :
2952831
Title :
PCA-Based Classification for 3D Ultrasonic Reflectors
Author :
Ochoa, A. ; Ureña, J. ; Hernandez, A. ; Mazo, M. ; Jimenez, J.A. ; Pérez, M.C.
Author_Institution :
Alcala Univ., Madrid
fYear :
2007
fDate :
3-5 Oct. 2007
Firstpage :
1
Lastpage :
6
Abstract :
In this work a classification system for basic ultrasonic reflectors (plane, corner and edge) in three-dimensional (3D) environments is presented. The classification system is based on the principal component analysis (PCA) technique and the times-of-flight (TOF) are used as classification parameter. The system provides a sensorial structure to simultaneously obtain up to 16 TOF in every emission/scanning process. With the set of obtained TOF, it is possible to identify the ultrasonic reflector, as well as its position and range in 3D environments. The results achieved by the classification system are satisfactory, since the three reflector types are identified and located in 3D environments.
Keywords :
acoustic signal processing; principal component analysis; signal classification; ultrasonic reflection; 3D ultrasonic reflectors; PCA-based classification system; emission process; principal component analysis; scanning process; times-of-flight; Classification algorithms; Data mining; Electronic mail; Encoding; Face recognition; Indoor environments; Mobile robots; Object recognition; Principal component analysis; Ultrasonic transducers; Classification system; PCA; TOF; ultrasonic reflectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing, 2007. WISP 2007. IEEE International Symposium on
Conference_Location :
Alcala de Henares
Print_ISBN :
978-1-4244-0829-0
Electronic_ISBN :
978-1-4244-0830-6
Type :
conf
DOI :
10.1109/WISP.2007.4447595
Filename :
4447595
Link To Document :
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