Title :
A new Gas Recognition Technique using On Chip Sensor Array Measurements
Author :
Flitti, F. ; Guo, B. ; Far, A. ; Bermak, A.
Author_Institution :
Hong Kong Univ. of Sci. & Technol., Kowloon
Abstract :
This paper deals with gas recognition which has many applications in various domestic and industry tasks. We propose a new low complexity recognition method based on the measurement issued from an on chip 4 x 4 gas sensor array. The recognition system is based on a vector angle similarity measure between the query gas and the representatives of the different gas classes. The latter are obtained using a clustering algorithm based on the same measure within the training data set. Experimented results show more than 98% of good recognition.
Keywords :
gas sensors; clustering algorithm; gas recognition technique; on chip gas sensor array; vector angle similarity measure; Biosensors; Clustering algorithms; Food industry; Gas detectors; Gas industry; Gases; Goniometers; Semiconductor device measurement; Sensor arrays; Sensor phenomena and characterization;
Conference_Titel :
Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4244-1377-5
Electronic_ISBN :
978-1-4244-1378-2
DOI :
10.1109/ICECS.2007.4510928