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A Radar-Based Smart Sensor for Unobtrusive Elderly Monitoring in Ambient Assisted Living Applications

机译:基于雷达的智能传感器用于环境辅助生活应用中的不干扰老年人监护

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摘要

Continuous in-home monitoring of older adults living alone aims to improve their quality of life and independence, by detecting early signs of illness and functional decline or emergency conditions. To meet requirements for technology acceptance by seniors (unobtrusiveness, non-intrusiveness, and privacy-preservation), this study presents and discusses a new smart sensor system for the detection of abnormalities during daily activities, based on ultra-wideband radar providing rich, not privacy-sensitive, information useful for sensing both cardiorespiratory and body movements, regardless of ambient lighting conditions and physical obstructions (through-wall sensing). The radar sensing is a very promising technology, enabling the measurement of vital signs and body movements at a distance, and thus meeting both requirements of unobtrusiveness and accuracy. In particular, impulse-radio ultra-wideband radar has attracted considerable attention in recent years thanks to many properties that make it useful for assisted living purposes. The proposed sensing system, evaluated in meaningful assisted living scenarios by involving 30 participants, exhibited the ability to detect vital signs, to discriminate among dangerous situations and activities of daily living, and to accommodate individual physical characteristics and habits. The reported results show that vital signs can be detected also while carrying out daily activities or after a fall event (post-fall phase), with accuracy varying according to the level of movements, reaching up to 95% and 91% in detecting respiration and heart rates, respectively. Similarly, good results were achieved in fall detection by using the micro-motion signature and unsupervised learning, with sensitivity and specificity greater than 97% and 90%, respectively.
机译:持续不断的对独居老人的家庭监控旨在通过发现疾病和功能衰退或紧急情况的早期迹象来改善其生活质量和独立性。为了满足老年人对技术接受的要求(不打扰,不打扰和保持隐私),本研究提出并讨论了一种新的智能传感器系统,该系统可在日常活动中检测异常,该系统基于超宽带雷达,可提供丰富而又不复杂的信息。隐私敏感的信息,可用于感测心肺和身体的运动,而不受环境光照条件和身体障碍的影响(穿墙感应)。雷达感测是一项非常有前途的技术,可以在一定距离内测量生命体征和身体运动,因此既满足不干扰又要求准确的要求。尤其是近年来,脉冲无线电超宽带雷达由于具有许多使其可用于辅助生活目的的特性而备受关注。拟议的传感系统在有意义的辅助生活场景下进行了评估,共有30名参与者参与其中,具有检测生命体征,区分危险状况和日常生活活动以及适应个人身体特征和习惯的能力。报告的结果表明,在进行日常活动时或在跌倒事件后(跌倒后阶段)也可以检测到生命体征,其准确度根据运动水平而有所不同,在检测呼吸和呼吸时,分别达到95%和91%。心率分别。同样,通过使用微动签名和无监督学习在跌倒检测中也获得了良好的结果,其灵敏度和特异性分别大于97%和90%。

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