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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have