VitalTrack: A Doppler radar sensor platform for monitoring activity levels

2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS) Pub Date : 2012-04-03 DOI:10.1109/BIOWIRELESS.2012.6172744

G. Reyes, Di Wang, R. Nair, Changzhi Li, Xiaolin Li, Jenshan Lin

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引用次数: 15

Abstract

An activity-level monitoring platform is developed using a non-contact Doppler radar sensor. The need for assistive living and smart home technologies will arise due to the increase in the aging population, and non-contact sensing technologies have the potential to revolutionize home healthcare delivery. Based on developments at University of Florida's Radio Frequency Circuits and Systems Research Laboratory, relevant information on how active people are during the day based on their physiological movements is obtained using algorithms and a non-contact Doppler radar sensor. A continuous 5.8 GHz radar wave emitted by the sensor is phase-modulated by the chest wall movement observed. The range of the radar sensor is on the order of 1.8 to 2 meters. Computer vision algorithms are used to detect and track a person as their movements are captured. Experiments were performed to monitor a person's activity levels over periods of time and the analysis of measured results is presented.

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VitalTrack:用于监测活动水平的多普勒雷达传感器平台

利用非接触式多普勒雷达传感器开发了一个活动级监测平台。由于人口老龄化的增加，对辅助生活和智能家居技术的需求将会增加，而非接触式传感技术有可能彻底改变家庭医疗保健服务。根据佛罗里达大学射频电路和系统研究实验室的研究成果，通过算法和非接触式多普勒雷达传感器，可以获得人们在白天根据生理运动活跃程度的相关信息。传感器发出的连续5.8 GHz雷达波通过观察到的胸壁运动进行相位调制。雷达传感器的探测范围在1.8米到2米之间。计算机视觉算法被用来检测和跟踪一个人的动作。实验进行了监测一个人的活动水平在一段时间内和测量结果的分析提出。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS)

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