Recognizing ADLs Based on Non-Intrusive Environmental Sensing and BLE Beacons

Recognizing ADLs Based on Non-Intrusive Environmental Sensing and BLE Beacons
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基于非侵入式环境传感和 BLE 信标识别 ADL

DOI：
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发表时间：
2017
期刊：
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通讯作者：
Masahide Nakamura
Masahide Nakamura
中科院分区：
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文献类型：
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作者：
L. Niu;S. Saiki;L. D. Bousquet;Masahide Nakamura

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近年来，许多关于日常生活活动(ADLS)识别的研究已经被开展，这些研究可以应用于许多现实生活中以人为中心的问题，如老年护理和医疗保健。在我们之前的工作中，我们提出了一种基于非侵入式环境感知的ADLS识别系统。然而，该系统的总体准确率仅为70%左右。为了提高系统的识别质量，本文在分析目前存在的问题的基础上，提出了一种基于环境感知和蓝牙低能量信标技术的新型ADLS识别系统。通过学习Beacon RSSI日志，获得用户的位置和运动信息，这将使系统更好地识别ADL。
Recently, many studies about Activities of Daily Living (ADLs) recognition have been conducted, which can be applied to many real-life, human-centric problems such as eldercare and healthcare. In our previous work, we have proposed an ADLs recognition system based on non-intrusive environment sensing. However, the overall accuracy of the system is only about 70%. In order to improve the quality of the system, based on the analysis of appeared problem, in this article a new ADLs recognition system by using environment sensing and Bluetooth Low Energy (BLE) beacon technologies be proposed. By learning the Beacon RSSI log, get user position and movement information, which will let the system better recognize ADLs.