Abstract:

An electronic nose (enose) system has been designed in order to extend its application in the cosmetic field. The system is composed of four main parts including data acquisition, sensor signal conditioning, feature extraction and pattern recognition. The core of hardware used for data acquisition and
 transmission is dsPIC30F6014A. The sensor arrays are composed of three commercially available metal oxide semiconductor sensors by Figaro with an integrated temperature and humidity sensor. The PC control software of the e-nose system embedded with pattern recognition algorithm was developed by mixed programming between VC and Matlab based on COM component and made available as an executable file. Pattern recognition is based on SVM (Support Vector Machine), which enhances the generalization performance of small sample compared to other methods such as PCA(Principal Component Analysis), Neural Net and so on. The experimental results indicate that it is feasible to classify four kinds of perfume with up to 92% accuracy and identify the unknown sample using the e-nose system.

Key words: electronic technique, electronic nose(e-nose), support vector machine(SVM), perfume