1. 西南科技大学信息工程学院
2. 特殊环境机器人技术四川省重点实验室
纸质出版:2020
移动端阅览
向琦, 任万春, 陈旭, 等. 基于物联网与多传感器技术的智能看护系统设计[J]. 传感器与微系统, 2020,(2):79-81.
XIANG Qi, REN Wanchun, CHEN Xu, et al. Design of intelligent nursing system based on Io T and multi-sensor technology[J]. 2020, (2): 79-81.
向琦, 任万春, 陈旭, 等. 基于物联网与多传感器技术的智能看护系统设计[J]. 传感器与微系统, 2020,(2):79-81. DOI: 10.13873/j.1000-9787(2020)02-0079-03.
XIANG Qi, REN Wanchun, CHEN Xu, et al. Design of intelligent nursing system based on Io T and multi-sensor technology[J]. 2020, (2): 79-81. DOI: 10.13873/j.1000-9787(2020)02-0079-03.
以STM32微处理器、GSM短信模块、GPS定位模块等多传感器构成可穿戴式装置;以改进的多阈值判断跌倒算法准确区分跌倒行为与日常活动行为;以物联网技术将系统装置与看护App紧密结合
实现对用户的定位搜索、医院查寻等功能。实验结果表明:该系统能够有效判定跌倒行为并短信报警
借助看护App实现对老人的定位搜索。
Wearable devices is composed of STM32 microprocessor
GSM SMS module
GPS positioning module
etc. The improved multi-threshold judgment fall algorithm is used to accurately distinguish the fall behavior from the daily activity behavior
and combines the system device with the nursing App by the Io T technology
realize the functions of locating the user
searching for the hospital. The experimental results show that the system can effectively determine the fall behavior and alarm by SMS
and use the nursing App to realize the localization search for the elderly
which is convenient for timely rescue and has good economic and social effects.
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