Application an Odour Recognition Using Nearest Neighbour Algorithm

Anies Hannawati • Resmana Lim
Journal article Jurnal Teknik Elektro Universitas Kristen Petra • September 2001 Indonesia

Abstract

This project was undertaken with the aim of developing control techniques and data processing methods to allow a relatively simple electronic nose developed for robotics applications to classify a wide range of odours. The electronic nose used tin oxide gas sensors as the main sensing elements. By modulating the sensor temperature inside the sensors%2C additional information was gathered which helps to identify unknown odours. A simple K-nearest neighbor algorithm was implemented as the basis of a pattern recognition system for recognizing odours presented to the system. Further%2C we considered ways of compressing the stored data and techniques for finding the best match among the trained data using Principal Component Analysis.

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Journal

Jurnal Teknik Elektro Universitas Kristen Petra

Jurnal Teknik Elektro Universitas Kristen Petra is published biannually, in May and September, by... see more