A smartphone-based fall detection system

被引：225

作者：

Abbate, Stefano ^{[1
]}

Avvenuti, Marco ^{[1
]}

Bonatesta, Francesco ^{[1
]}

Cola, Guglielmo ^{[1
]}

Corsini, Paolo ^{[1
]}

Vecchio, Alessio ^{[1
]}

机构：

[1] Univ Pisa, Dip Ingn Informaz, I-56122 Pisa, Italy

来源：

PERVASIVE AND MOBILE COMPUTING | 2012年 / 8卷 / 06期

关键词：

Pervasive healthcare; Fall detection; Wearable sensors; TRIAXIAL ACCELEROMETER; PEOPLE;

D O I：

10.1016/j.pmcj.2012.08.003

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Falls are a major cause of injuries and hospital admissions among elderly people. Thus, the caregiving process and the quality of life of older adults can be improved by adopting systems for the automatic detection of falls. This paper presents a smartphone-based fall detection system that monitors the movements of patients, recognizes a fall, and automatically sends a request for help to the caregivers. To reduce the problem of false alarms, the system includes novel techniques for the recognition of those activities of daily living that could be erroneously mis-detected as falls (such as sitting on a sofa or lying on a bed). To limit the intrusiveness of the system, a small external sensing unit can also be used for the acquisition of movement data. (C) 2012 Elsevier B. V. All rights reserved.

引用

页码：883 / 899

页数：17

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