论文标题
基于Wi-Fi的无源人类运动感测针对内部医疗保健应用
Wi-Fi Based Passive Human Motion Sensing for In-Home Healthcare Applications
论文作者
论文摘要
本文引入了一个基于Wi-Fi信号的无源无线传感系统,该系统具有检测各种室内运动的能力,从全身运动到肢体运动,包括胸部的呼吸运动。在实际实验场景中描述和验证了用于人体运动传感和软件定义的无线电演示系统的实时信号处理,其中包括检测到壁壁的人体运动,手势或震颤甚至呼吸。实验结果为使用Wi-Fi被动传感在家庭中进行有希望的医疗保健应用提供了潜力,以监视日常活动,收集健康数据并检测紧急情况。
This paper introduces a Wi-Fi signal based passive wireless sensing system that has the capability to detect diverse indoor human movements, from whole body motions to limb movements and including breathing movements of the chest. The real time signal processing used for human body motion sensing and software defined radio demo system are described and verified in practical experiments scenarios, which include detection of through-wall human body movement, hand gesture or tremor, and even respiration. The experiment results offer potential for promising healthcare applications using Wi-Fi passive sensing in the home to monitor daily activities, to gather health data and detect emergency situations.