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Poster De Conférence Année : 2021

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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Dates et versions

hal-03201184 , version 1 (21-04-2021)

Identifiants

  • HAL Id : hal-03201184 , version 1

Citer

Oussema Fakhfakh, Imen Megdiche, Réjane Dalcé, Thierry Val. A Lambda Architecture for Imbalance Prediction with Smart Cane. JETSAN 2021, May 2021, Blagnac, France. 2021. ⟨hal-03201184⟩
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