Título
Multi-agent Systems for Classification of E-Nose Data
Autor(es)
Palabras clave
Fecha de publicación
2015-06
Editor
Amr Mahmoud Salem Mohamed, Paulo Novais, Antonio Pereira, Villarrubia González, Gabriel, Antonio Fernández-Caballero (Eds.). Springer Verlag.
Citación
Ambient Intelligence- Software and Applications – 6th International Symposium on Ambient Intelligence (ISAmI 2015). Advances in Intelligent Systems and Computing. Volumen 376, pp. 183-192.
Resumen
Metal Oxide Semiconductor Gas Sensors are used to measure and classify odors. This kind of system requires both advanced sensor design and classification techniques. In this paper we present a MOGS (Metal Oxide Gas Sensor) specifically designed to classify the breath of humans. We propose an architecture that incorporates new sensing technology and a classification technique based on multi-agent systems. The proposal is evaluated using samples from Asian and European participants. The results obtained are promising.
URI
ISBN
978-3-319-19694-7(Print) / 978-3-319-19695-4(Online)
ISSN
2194-5357(Print) / 2194-5365(Online)
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