Pattern Recognition and Text-Dependent Recognition for a Mobile Robot

Author

Solano, Natalia F.Gonzalez ; Muniz, Raul E.Torres

Author_Institution

Electrical and Computer Engineering Department, University of Puerto Rico at MayagÃ¿ez, MayagÃ¿ez, Puerto Rico. natalia.gonzalez@ece.uprm.edu

Volume

1

fYear

2006

fDate

6-9 Aug. 2006

Firstpage

379

Lastpage

383

Abstract

Pattern Recognition and Audio Processing are important aspects in the control and behavior of mobile robots. Mobile robot´s action depends on the recognition of visual and audio stimuli in order to reflect intelligent behavior of the robot. This work presents two recognition systems developed using morphological operations and Linear Predictive Coding (LPC) with Backpropagation Neural Networks (BNN) to process visual and audio data respectively. The objective is to design a person tracking system for a mobile robot with text dependent pitch recognition and a visual pattern recognition mechanism. The BNN will awake the robot from the idle position, while the visual stimulation will be used to track the person given the command.

Keywords

Intelligent robots; Linear predictive coding; Machine vision; Mobile robots; Neural networks; Pattern recognition; Robot sensing systems; Robustness; Speech recognition; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on

Conference_Location

San Juan, PR

ISSN

1548-3746

Print_ISBN

1-4244-0172-0

Electronic_ISBN

1548-3746

Type

conf

DOI

10.1109/MWSCAS.2006.382077

Filename

4267154