Monitoring hand hygiene with commercial gas sensors: A pattern recognition approach

Chemical Discrimination of Benzene Series and Molecular Recognition of the Sensing Process over Ti-Doped Co3O4

“…17−19 For example, Barsan et al combined the commercial gas sensors and the pattern recognition approach to monitor hand hygiene. 20 Yang et al designed a multitask convolutional neural network with a dual-block knowledgesharing structure to train a model for the electronic nose system, which showed high accuracy for 12 kinds of volatile organic compounds (VOCs). 21 Xie et al developed a Ti 3 C 2 T xbased virtual sensor array to identify the VOC classification via the principal component analysis (PCA) and linear discrimination analysis (LDA).…”

“…Then, the top-ranked features are selected as the effective assessment contents of analytes. Last, the sensing system, which has undergone repeated training and learning via different classification algorithms based on the data sets, could decide on the gas classification according to the collected gas-sensing signals. − For example, Bârsan et al combined the commercial gas sensors and the pattern recognition approach to monitor hand hygiene . Yang et al designed a multitask convolutional neural network with a dual-block knowledge-sharing structure to train a model for the electronic nose system, which showed high accuracy for 12 kinds of volatile organic compounds (VOCs) .…”