Pattern recognition with ultrasonic sensors: a neural networks evaluation

Pattern recognition with ultrasonic sensors: a neural networks evaluation This paper presents an evaluation of several types of neural networks for object recognition by means of ultrasonic sensors. Initially, in order to obtain information from the ultrasonic signal, a parametric method is proposed and a set of features is extracted from the ultrasonic echo envelope. Then, it is necessary to evaluate how much information is provided for each characteristic obtained. Therefore, it has been necessary to carry out an analysis in order to detect the most relevant features. Results about information provided for each feature are presented by order of preference. Subsequently, using these features extracted from the echo signal, an experimental set-up has been carried out in order to highlight the capabilities of different types of neural networks with this information. Finally, results obtained from experimental tests are presented, and the pattern recognition capabilities of each neural network type, using the selected features, are shown. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Sensor Review Emerald Publishing

Pattern recognition with ultrasonic sensors: a neural networks evaluation

Sensor Review, Volume 21 (1): 7 – Mar 1, 2001

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Publisher
Emerald Publishing
Copyright
Copyright © 2001 MCB UP Ltd. All rights reserved.
ISSN
0260-2288
DOI
10.1108/02602280110365653
Publisher site
See Article on Publisher Site

Abstract

This paper presents an evaluation of several types of neural networks for object recognition by means of ultrasonic sensors. Initially, in order to obtain information from the ultrasonic signal, a parametric method is proposed and a set of features is extracted from the ultrasonic echo envelope. Then, it is necessary to evaluate how much information is provided for each characteristic obtained. Therefore, it has been necessary to carry out an analysis in order to detect the most relevant features. Results about information provided for each feature are presented by order of preference. Subsequently, using these features extracted from the echo signal, an experimental set-up has been carried out in order to highlight the capabilities of different types of neural networks with this information. Finally, results obtained from experimental tests are presented, and the pattern recognition capabilities of each neural network type, using the selected features, are shown.

Journal

Sensor ReviewEmerald Publishing

Published: Mar 1, 2001

Keywords: Ultrasonic; Sensors; Neural networks; Pattern recognition

References

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