Change the lives of pollen allergy sufferers.
Institut de recherche mathématique de Rennes
Mechanics and Mechatronics
30% of the French population is concerned by pollen allergy, against only 3% in 1970, and the allergic population is predicted to pass the 50% mark in 2050. Taking treatment in advance significantly reduces allergic reactions. It is therefore crucial to provide pollen risk forecasts as early as possible.
Challenges and goals
- Pollenic risk forecasting.
- Multi-sources data fusion.
Mathematical and computational methods
Lify Air designs and deploys optical sensors to measure the concentration of pollen in the air.
The objective is to provide forecasts fa allergy sufferers. Lify Air, Irisa and IRMAR collaboration has led to the development of statistical models for multivariate time series to combine meteorological information and optic signals for forecasting the pollen risks of about 20 species.
Results and Benefits
Statistical models have been developed to combine historical pollen data, meteorology information and low level optic signals from the Lify Air sensors. Thanks to the models, Lify Air currently provide real time risk and will soon provide forecasted risk. 3 days in advance, for about 20 pollens. Risk indices are delivered via a personalized interface.