BLE-based approach for detecting daily routine changes

Ana Jiménez Martín, Ismael Miranda Gordo, David Gualda Gómez, S. G. D. Villa, Sergio Lluva Plaza, Juan Jesús García Domínguez
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引用次数: 3

Abstract

This work proposes a system to detect changes in daily routines in a controlled environment, such as a sensorized-home. Variations in routines can be indicative of physical or cognitive decline in elderly adults, which makes it very attractive to support independent living and healthy ageing. Our proposal is based on an indoor symbolic location system based on low-cost and easy-to-install Bluetooth Low Energy (BLE) transmitter beacons, together with a mobile receiver. The user's symbolic location is estimated from the Received Signal Strength Indicator (RSSI) and K-Nearest Neighbour (KNN) model, which is merged with the acceleration provided by the receiving mobile device. The location is used to estimate the time spent in each monitored room, to infer a time-based routine. The symbolic localization has an accuracy higher than 96%. The subsequent daily monitoring allows for the detection of variations with respect to a defined routine that can serve as an alarm for the user, family members or caregivers.
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基于ble的检测日常变化的方法
这项工作提出了一种在受控环境中检测日常生活变化的系统,例如感应式家庭。日常生活的变化可能表明老年人的身体或认知能力下降,这使得支持独立生活和健康老龄化非常有吸引力。我们的提案是基于一个室内符号定位系统,该系统基于低成本和易于安装的蓝牙低功耗(BLE)发射机信标以及移动接收器。用户的符号位置是根据接收信号强度指标(RSSI)和k近邻(KNN)模型估计的,该模型与接收移动设备提供的加速度合并。该位置用于估计在每个监控房间中花费的时间,以推断基于时间的例行程序。符号定位的准确率在96%以上。随后的日常监测允许检测与已定义的例行程序相关的变化,这些变化可以作为用户,家庭成员或护理人员的警报。
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