Implementation of wearable sensors for fall detection into smart household

被引：0
|
作者：
Biros, Ondrej [1 ]
Karchnak, Jÿn [1 ]
Simsik, Dusan [1 ]
Hosovsky, Alexander [2 ]
机构：
[1] Tech Univ Kosice, Fac Mech Engn, Dept Automat Control & Humanmachine Interact, Kosice, Slovakia
[2] Tech Univ Kosice, Fac Mfg Technol Seat Presov, Dept Math Informat & Cybernet, Presov, Slovakia
来源：
2014 IEEE 12TH INTERNATIONAL SYMPOSIUM ON APPLIED MACHINE INTELLIGENCE AND INFORMATICS (SAMI) | 2014年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The proposed paper describes implementation of wearable sensors into smart household environment. Wearable sensor prototype is based on MEMS inertial measurement unit, containing accelerometer and gyroscope. Fall detection using wearable sensors has been determined as suitable function in several implementations. Fall detection algorithm, considering information about acceleration, tilt and angular velocity was developed and tested. Communication of IMU with PC is described as well as experimental verification of the algorithm.
引用
收藏
页码：19 / 22
页数：4
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