Modern technologies offer updates and information using Ambient Intelligence (AmI) and personalized user experience. Wearable sensors can collect and process data about lifestyle and health status, integrate them with clinical variables and provide people with simple feedback messages on the adequacy of their behaviors, delivered by wearable devices or home appliances. AmILCare (Ambient Intelligence for Long-term Diabetes Care) is a project aimed at supporting people with non-insulin-treated type 2 diabetes in the day-to-day management of their disease.

Detection of real life activities by a tri-axial accelerometer worn at different body locations: analysis and interpretation.

Porta M;Fornengo P;Franceschini M;Tricarico L;Mazzeo A;Di Leva A;Bertello S;Clerico A;Trento M
2021

Abstract

Modern technologies offer updates and information using Ambient Intelligence (AmI) and personalized user experience. Wearable sensors can collect and process data about lifestyle and health status, integrate them with clinical variables and provide people with simple feedback messages on the adequacy of their behaviors, delivered by wearable devices or home appliances. AmILCare (Ambient Intelligence for Long-term Diabetes Care) is a project aimed at supporting people with non-insulin-treated type 2 diabetes in the day-to-day management of their disease.
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https://pubmed.ncbi.nlm.nih.gov/34043833/
Type 2 diabetes; ambient intelligence; performance accelerometer.
Porta M, Chiesa M, Fornengo P, Franceschini M, Tricarico L, Mazzeo A, Di Leva A, Bertello S, Clerico A, Oleandri S, Trento M
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/1789393
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