A Lambda Architecture for Imbalance Prediction with Smart Cane
Résumé
Providing medical staff with a system for imbalance prediction can be a way to track frailty and to monitor patient's state more accurately, since imbalance is assessed as a warning sign of frailty. The purpose of this paper is to propose a complete architecture able to track imbalance from IoT devices, store their data in an adapted environment and process them with advanced analytics. Our solution consists of a Lambda Architecture that collects data from a smart Cane used by elderly people and processes in real-time and batch ways these data to predict imbalance.
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JETSAN2021_CorrigeApresReview_MDVF.pdf (547.11 Ko)
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ArchiLambda.pdf (250.03 Ko)
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| Origine | Fichiers produits par l'(les) auteur(s) |
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| Format | Poster |
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