User presence monitoring based on Velostat pressure sensors and Arduino platform

被引：5
作者：
Gala, Michal [1 ]
Barabas, Jan [1 ]
Kopaskova, Mariana [1 ]
机构：
[1] Univ Zilina, Dept Electromagnet & Biomed Engn, Zilina, Slovakia
来源：
PROCEEDINGS OF 2020 IEEE 21ST INTERNATIONAL CONFERENCE ON COMPUTATIONAL PROBLEMS OF ELECTRICAL ENGINEERING (CPEE) | 2020年
关键词：
bed monitoring; fall detection; fall prevention; scoliosis; intelligent textiles; Velostat; pressure sensors; IoT;
D O I：
10.1109/cpee50798.2020.9238739
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The presented article details a self-developed system for user presence monitoring either while lying in a bed or when sitting in a chair. Real-time information from the pressure sensor matrix is accessible via a website and customizable user-alerts are available. Apart from monitoring user presence, the system can also be used to gain insight into the anatomical well-being of the user - e.g. to detect scoliosis or other anatomical abnormalities. Planned future additions will include pre-fall detection based on user behavior analysis and extension of the pressure sensor network.
引用
收藏
页数：3
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