“安护”便携式腕带的设计与实现  

Design and implementation of"Anhu"portable wristband

作　　者：李凯峰 王南兰[1] Li Kaifeng;Wang Nanlan(Department of Computer and Electrical Engineering,Hunan University of Arts and Science,Changde 415000,China)

机构地区：[1]湖南文理学院计算机与电气工程学院,湖南常德415000

出　　处：《湖南文理学院学报（自然科学版）》2022年第3期54-58,共5页Journal of Hunan University of Arts and Science(Science and Technology)

基　　金：2021年湖南文理学院大学生创新创业训练计划项目(XDC2021073);2021年教育部第二批产学合作协同育人项目(202102230013、202102211066)。

摘　　要：本项目设计的基于stm32的便捷式老人跌倒报警腕带通过陀螺仪、加速度计等惯性敏感元件,结合磁力计数据,收集模拟阶段老人日常生活和摔倒时腕带不同的运动状态,并经过算法分析,解析出老人手臂的运动状态。通过数据分析,得出老人在正常活动和跌倒时不同的手部运动速度,旋转速度,方向等不同的特点,得出老人是否跌倒的特征数据,并将分析结果与腕带实际使用时的状态相对比,以此来判别老人是否摔倒或是其他的日常活动。The convenient fall alarm wristband for the elderly based on STM32 designed by the project combines the data of magnetometer with inertial sensitive elements such as gyroscope and accelerometer.Collect the different movement states of the wristband in the daily life of the elderly and fall in the simulation stage,and analyze the movement state of the elderly's arm through algorithm analysis.Through the analysis of data,grasp the different characteristics of the elderly in normal activities and falls,such as different hand movement speed,rotation speed,direction and so on.Get the characteristic data of whether the elderly fall.The analysis results are compared with the actual state of the wristband,so as to judge whether the elderly fall or other daily activities.

关 键 词：智能腕带 心率检测 跌倒报警 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]