A Smart Ward with a Fall Detection System

被引：0

作者：

Su, Mu-Chun ^{[1
]}

Liao, Jia-Wei ^{[1
]}

Wang, Pa-Chun ^{[2
]}

Wang, Chen-Hsu ^{[2
]}

机构：

[1] Natl Cent Univ, Dept Comp Sci & Informat Engn, Taoyuan, Taiwan

[2] Cathay Gen Hosp, Taipei, Taiwan

来源：

2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE) | 2017年

关键词：

fall detection; Kinect; neural networks; deep learnrning; ward management; VIDEO;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Fall incidents are one of the most important ward safety issues in hospitals because falls may cause extreme injuries, resulting in serious physical, psychological, and social consequences. In this paper, we present a smart ward with a fall detection system. The smart ward can issue an alarm signal to corresponding healthcare givers once it detects a fall event. The smart ward is consisted of a Kinect depth camera and a neural network-based fall detection algorithm. We deigned six scenarios to test the performance of the proposed smart ward. The accuracy ratio was 98.15% and the KAPPA value was 0.96.

引用

页数：4

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