A Wearable IoT-Based Fall Detection System Using Triaxial Accelerometer and Barometric Pressure Sensor

被引：1

作者：

Radmanesh, Elahe ^{[1
]}

Delrobaei, Mehdi ^{[1
]}

Habachi, Oussama ^{[2
]}

Chamani, Somayyeh ^{[1
]}

Pousset, Yannis ^{[2
]}

Meghdadi, Vahid ^{[2
]}

机构：

[1] KN Toosi Univ Technol, Fac Elect Engn, Tehran 1631714191, Iran

[2] Univ Limoges, XLIM, UMR 7252, Limoges, France

来源：

UBIQUITOUS NETWORKING, UNET 2019 | 2020年 / 12293卷

关键词：

Fall detection; IoT architecture; Accelerometry; Pressure sensing; Elderly care; ELDERLY PERSON; PREVENTION; PEOPLE;

D O I：

10.1007/978-3-030-58008-7_13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The aim of this research work is to develop a wearable and IoT-based fall detection system that can potentially be integrated within a smart home or a community health center to improve the quality of life of the elderly. This system would enable caregivers to remotely monitor the activities of their dependents and to immediately be notified of falls as adverse events. The proposed hardware architecture includes a processor, a triaxial accelerometer, a barometric pressure sensor, a Wi-Fi module, and battery packs. This unobtrusive architecture causes no interference with daily living while monitoring the falls. The output of the fall detection algorithm is a two-state flag, transmitted to a remote server in real-time.

引用

页码：158 / 170

页数：13

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