Deployment of an IoT Solution for Early Behavior Change Detection

被引：2

作者：

Aloulou, Hamdi ^{[1
,2
]}

Mokhtari, Mounir ^{[3
]}

Abdulrazak, Bessam ^{[4
]}

机构：

[1] Ctr Rech Numer Sfax, Sfax, Tunisia

[2] Univ Monastir, Inst Super Informat Mandia, Mandia, Tunisia

[3] Inst Mines Telecom, Paris, France

[4] Univ Sherbrooke, Sherbrooke, PQ, Canada

来源：

HOW AI IMPACTS URBAN LIVING AND PUBLIC HEALTH, ICOST 2019 | 2019年 / 11862卷

基金：

欧盟地平线“2020”;

关键词：

Behavior change; Internet of Things; Frailty;

D O I：

10.1007/978-3-030-32785-9_3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Today, numerous factors are causing a demographic change in many countries in the world. This change is producing a nearly balanced society share between the young and aging population. The noticeable increasing aging population is causing different economical, logistical and societal problems. In fact, aging is associated with chronic diseases in addition to physical, psychological, cognitive and societal changes. These changes are considered as indicators of aging peoples' frailty. It is therefore important to early detected these changes to prevent isolation, sedentary lifestyle, and even diseases in order to delay the frailty period. This paper presents an experiment deployment of an Internet of Thing solution for the continuous monitoring and detection of elderly people's behavior changes. The objective is to help geriatricians detect sedentary lifestyle and health-related problems at an early stage.

引用

页码：27 / 35

页数：9

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