基于SINS的老人跌倒实时监测方法  被引量:6

Method for real-time monitoring on falling of elderly people based on SINS

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作  者:罗涛 杨海 李莉 饶悦 张禾[1] LUO Tao;YANG Hai;LI Li;RAO Yue;ZHANG He(School of Mechatronic Engineering,Southwest Petroleum University,Chengdu 610500,China)

机构地区:[1]西南石油大学机电工程学院

出  处:《传感器与微系统》2020年第1期56-59,共4页Transducer and Microsystem Technologies

基  金:国家自然科学基金联合基金培育资助项目(U1610111)

摘  要:针对老人在跌倒的过程中人体的加速度和角速度特征量的变化,提出了一种基于卡尔曼滤波阈值算法的可穿戴式跌倒实时监测方法。以嵌入式处理器STM32F103ZET6作为处理核心,采用高精度加速度计MPU6050采集人体的加速度、角速度数据;微处理器通过对加速度数据的分析作出跌倒判断,如果判断结果为跌倒,蜂鸣器则会发出报警信号;通过SIM800C模块会向监护人发出求助短信。在搭建的可穿戴式实时监测系统实验平台中进行模型验证,通过对不同运动方式的对比,实验结果表明所提方法的可行性。Aiming at change of characteristics of acceleration and angular velocity of human body in the process of old people falling,comprehensive the existing fall monitoring methods at present,a wearable falling and real-time monitoring methods based on Kalman filtering threshold algorithm is proposed.Use embedded processor STM32F103ZET6 as the processing core,adopt high precision accelerometer MPU6050 to aquire acceleration and angular velocity data of human body,and then the microprocessor judge the falling based on analysis on acceleration data.If the result is falling,the buzzer will send alarm,in addition,the SIM800C module will send a text message for help to the guardian.The model is verified on the experimental platform of wearable real-time monitoring system.By comparing different motion modes,the feasibility of the proposed method is demonstrated,and the remote alarm function for monitoring on falling of the elderly is realized.

关 键 词:跌倒检测 惯性测量 卡尔曼滤波 远程报警 可穿戴式 

分 类 号:TP212.9[自动化与计算机技术—检测技术与自动化装置]

 

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