Title :
Identification of food spoilage in the smart home based on neural and fuzzy processing of odour sensor responses
Author :
Green, Geoffrey C. ; Chan, Adrian D C ; Goubran, Rafik A.
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
Abstract :
Adopting the use of real-time odour monitoring in the smart home has the potential to alert the occupant of unsafe or unsanitary conditions. In this paper, we measured (with a commercial metal-oxide sensor-based electronic nose) the odours of five household foods that had been left out at room temperature for a week to spoil. A multilayer perceptron (MLP) neural network was trained to recognize the age of the samples (a quantity related to the degree of spoilage). For four of these foods, median correlation coefficients (between target values and MLP outputs) of R > 0.97 were observed. Fuzzy C-means clustering (FCM) was applied to the evolving odour patterns of spoiling milk, which had been sampled more frequently (4 h intervals for 7 days). The FCM results showed that both the freshest and oldest milk samples had a high degree of membership in ldquofreshrdquo and ldquospoiledrdquo clusters, respectively. In the future, as advancements in electronic nose development remove the present barriers to acceptance, signal processing methods like those explored in this paper can be incorporated into odour monitoring systems used in the smart home.
Keywords :
dairy products; electronic noses; fuzzy set theory; home computing; multilayer perceptrons; food spoilage identification; fuzzy C-means clustering; fuzzy processing; household foods; median correlation coefficients; metal-oxide sensor-based electronic nose; multilayer perceptron neural network; neural processing; odour patterns; odour sensor; real-time odour monitoring; smart home; spoiling milk; Animals; Cattle; Cluster Analysis; Computer Simulation; Electronics; Food Contamination; Food Packaging; Food Technology; Fuzzy Logic; Metals; Milk; Odors; Oxides; Pattern Recognition, Automated; Robotics; Signal Processing, Computer-Assisted;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5335374