Expertise: Smell Sensing and Electronic Noises
SAM3 Expertise Areas: Smell Sensing and Electronic Noises
Electronic nose technology can allow for the assessment of well-being and specifically aspects of ADLs and nutrition. SAM3 researchers have applied smell sensors to various well-being assessments:
Application areas
- Food spoilage detection
- Kitchen safety
- Hygiene
B. Laska, B. Wallace, R. Goubran, F. Knoefel, “Environment-Compensated Gas Sensor Time-Series Analysis for Tracking Food Spoilage” accepted at IEEE Medical Measurement and Applications Symposium (MeMeA 2025), 2025
SAM3 Book “Supportive Smart Homes: Their Role in Aging in Place” now available
Supportive Smart Homes: Their Role in Aging in Place By: Frank Knoefel, Bruce Wallace, Neil Thomas, Heidi Sveistrup, Rafik Goubran, Christine L. Laurin Our book …
G. C. Green, A. D. C. Chan and R. A. Goubran, “Tracking food spoilage in the smart home using odour monitoring,” 2011 IEEE International Symposium on Medical Measurements and Applications, Bari, Italy, 2011, pp. 284-287,
G. C. Green, A. D. C. Chan and R. A. Goubran, “Identification of food spoilage in the smart home based on neural and fuzzy processing of odour sensor responses,” 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, USA, 2009, pp. 2625-2628
Green, G. C., Chan, A. D., & Goubran, R. A. (2009, April). Monitoring of food spoilage with electronic nose: potential applications for smart homes. In 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare (pp. 1-7). IEEE.
Green, G. C., Chan, A. D. C., & Goubran, R. A. (2007). Dimensionality reduction of electronic nose data for bacteria discrimination. In Proc. 30th Conference of the Canadian Medical and Biological Engineering Society.
Green, G. C., Chan, A. D., & Goubran, R. A. (2006, August). An investigation into the suitability of using three electronic nose instruments for the detection and discrimination of bacteria types. In 2006 International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1850-1853). IEEE.
Chen, H., Goubran, R. A., & Mussivand, T. (2004, October). Improving the classification accuracy in electronic noses using multi-dimensional combining (MDC). In SENSORS, 2004 IEEE (pp. 587-590). IEEE.