| dc.contributor.author | Ikeda, Yoshinori | |
| dc.contributor.author | Omatu, Sigeru | |
| dc.contributor.author | Chamoso Santos, Pablo | |
| dc.contributor.author | Pérez, Alberto | |
| dc.contributor.author | Bajo Pérez, Javier | |
| dc.date.accessioned | 2017-09-06T09:16:09Z | |
| dc.date.available | 2017-09-06T09:16:09Z | |
| dc.date.issued | 2015-06 | |
| dc.identifier.citation | Ambient Intelligence- Software and Applications – 6th International Symposium on Ambient Intelligence (ISAmI 2015). Advances in Intelligent Systems and Computing. Volumen 376, pp. 183-192. | |
| dc.identifier.isbn | 978-3-319-19694-7(Print) / 978-3-319-19695-4(Online) | |
| dc.identifier.issn | 2194-5357(Print) / 2194-5365(Online) | |
| dc.identifier.uri | http://dx.doi.org/10.1007/978-3-319-19695-4_19 | |
| dc.identifier.uri | http://hdl.handle.net/10366/135058 | |
| dc.description.abstract | 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. | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.publisher | Amr Mahmoud Salem Mohamed, Paulo Novais, Antonio Pereira, Villarrubia González, Gabriel, Antonio Fernández-Caballero (Eds.). Springer Verlag. | |
| dc.subject | Computer Science | |
| dc.title | Multi-agent Systems for Classification of E-Nose Data | |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
