基于STM32的老人跌倒检测智能家居系统设计  

Design of elderly fall detection smart home system based on STM32

作　　者：张晟祺 解乃军[1] 纪有旺 徐梓然 王率帅 岳骏 ZHANG Shengqi;XIE Naijun;JI Youwang;XU Ziran;WANG Lüshuai;YUE Jun(Nanjing Institute of Technology,Jiangsu Nanjing 211167,China)

机构地区：[1]南京工程学院,江苏南京211167

出　　处：《工业仪表与自动化装置》2023年第1期35-39,共5页Industrial Instrumentation & Automation

摘　　要：目前,智能家居设备主要以家庭住房为平台,以物联网技术为工具,连接家电、灯光及空气质量检测设备等。我国正处于人口老龄化趋势,老年人群的特点是反应力迟缓、平衡感降低且身体机能老化,因此高龄人群对智能家居有个性化的需求。基于上述目的,该文提出了一种面向高龄人群的智能家居系统方案,该系统分为老人穿戴部分与集成了Kinect体感器的家居系统;阐述了Kinect模块的跌倒姿态检测原理与算法。系统硬件部分使用STM32F4x作为主控芯片,穿戴部分包含心率、体温和血氧数据采集模块、OLED显示屏及按键,通过ESP8266EX模块与手机相连。系统软件使用C语言在Keil5平台编程,再用软件FlyMCU将程序导入STM32芯片。At present,the smart home devices mainly takes the family housing as the platform,with the Internet of Things technology as the tool,connecting appliances,lighting,air quality detection and other equipment.China is in the trend of population aging.The elderly are characterized by delayed reaction force,reduced sense of balance and aging body function.Therefore,the elderly people have personalized needs for smart home.Based on the above purposes,this paper proposes a smart home system scheme for the elderly population,which is divided into the elderly wear part and the home system integrated with Kinect body sensor.This paper describes the principle and algorithm of fall pose detection of Kinect module.The hardware part of the system uses STM32F4x as the main control chip,and the wearable part includes the heart rate,body temperature and blood oxygen data acquisition module,OLED display screen and keys,which are connected to the mobile phone through the ESP8266EX module.The system software uses C language to program on Keil5 platform,and then software FlyMCU is used to import the program into STM32 chip.

关 键 词：智能家居 双目视觉 跌倒姿态检测 Kinect体感器 STM32F4 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TU855[自动化与计算机技术—控制科学与工程]