摘要
传统居家养老模式中,对独居老人的日常生活健康状况的监测及室内活动的异常行为检测,依赖于各种可穿戴传感器设备,易给老人造成行动不便和隐私问题。为此,提出一种基于位置信息的老人异常状态检测方法。该方法根据蓝牙信号的信号强度指示(Received Signal Strength Indication,RSSI)测距定位,获得老人当前位置,由交互式多模型的卡尔曼滤波方法实现老人在室内的移动轨迹跟踪;对老人在室内移动轨迹进行生理监测,而对老人突发异常状态,通过设置不同室内空间区域的时间阈值,以停留点检测方式进行判断。实验结果表明,该方法简单易于实现,且对于独居老人的日常监护方法优于传统可穿戴传感器设备。
In the traditional home-based pension mode,various wearable sensor devices are applied to monitor the health status of daily life and detect the abnormal behaviors in indoor activities of the elderly solitary,which easily causes moving inconvenience and privacy problems for the elderly.An abnormal status detection method based on location information is proposed in this paper for the elderly.The elderly current location can be obtained by range-finding and positioning by using this method on the basis of RSSI(Received Signal Strength Indication,RSSI)of Bluetooth signal,and the moving trajectory tracking and physiological monitoring of the elderly in indoor can be achieved by applying the interactive multi-model Kalman filtering method.The time threshold values of different indoor space areas were set to judge the burst abnormal state of the elderly by means of the detection of stopping points.The experiment results show that the proposed scheme is simple and easy to implement,and the daily monitoring method for the elderly solitary is better than the traditional wearable sensor devices.
作者
王长清
冯惠粉
丰明奎
WANG Changqing;FENG Huifen;FENG Mingkui(School of Electronics and Electrical Engineering,Henan Normal University,Xinxiang 453007,China;Key Laboratory of Photoelectric Sensing Integrated Application of Henan Province,Xinxiang 453007,China)
出处
《现代电子技术》
北大核心
2019年第16期182-186,共5页
Modern Electronics Technique
基金
国家自然科学基金联合基金项目：甚低频信号传播方法预报地震的模型研究(U1704134)~~
关键词
独居老人
异常状态检测
低功耗蓝牙技术
异常状态判断
轨迹跟踪
生理监测
停留点检测
elderly solitary
abnormal state detection
low-power Bluetooth
abnormal state judgement
trajectory tracking
physiology monitoring
stopping point detection
