Non-invasive stand-off sensing for detecting, monitoring and localizing humans

远距离传感是一种非接触式、非侵入性的传感方法，它通过发射雷达等波形(通常是电磁波)或被动地(摄像机)进行主动传感。当接触感应不可行时，例如搜索和救援、军事和跨境安全应用，它是有用的。它也是一种经济的方式来监控急诊科的多名患者或家庭护理的老年人。虽然现有的大多数研究都集中在使用单一传感器或同一类型的多个传感器的组合上，但拟议的发现拨款计划将考虑一套混合传感器，它们分别使用不同的传感策略来实现可靠的传感。*由主动传感器(如雷达)组成的混合传感器套件传输不同的波形，使用不同的几何配置或雷达、视频和热成像相机等传感器的组合，预计将显著提高传感数据的质量，在无障碍和障碍后环境中提供强大的人体目标检测、监控和定位。然而，在雷达传感器的类型、发射波形、传感器配置和信号处理算法等方面还需要解决一些挑战。拟议的计划通过理论和实验分析解决这些挑战，并提供一种混合传感解决方案以及先进的信号处理算法，用于检测、定位人类，监测他们的生命体征，并对各种活动进行分类，包括无障碍和障碍后的语音。*该计划的长期目标是开发一个强大的系统，使用一套主动和/或被动传感器的混合套件来全面检测、定位多个人，并监控他们的各种活动和生理状态。这样的系统将有从军事到医疗保健的广泛监测应用。短期目标是开发一套混合雷达传感器，既可以监测障碍背后的环境，也可以监测无障碍环境，而研究重点将是开发先进的信号处理算法，以检测和定位多人，监测和估计他们的生命体征，如呼吸和心率，提取他们的生命信号波形，识别和分类人体运动和活动，作为稳健监测的一部分。*该项目将培养6名硕士研究生、4名博士生、2名博士后和6名本科生。该项目的成果将为智能家居的下一代隔离监控系统奠定基础，提供可申请专利的算法和技术，产生包括2篇博士论文和4篇硕士论文在内的高质量出版物，并提供一个将改善加拿大人生活并使他们安全的实用系统。**

Stand-off or distant sensing is a contactless non-invasive sensing methodology that sense either actively by transmitting waveforms (generally electromagnetic waves) such as a radar or passively (video cameras). It is useful when contact sensing is not feasible such as search and rescue, military and cross-border security applications. It is also an economical way of monitoring multiple patients in emergency departments or elderlies in home care. While majority of the existing research has focused on using single sensor or a combination of multiple sensor of the same type, the proposed Discovery Grant program will consider a suite of hybrid sensors that individually use different sensing strategies to achieve reliable sensing.****A hybrid suite consisting of active sensors such as radars transmitting different waveforms, using different geometric configurations or a combination of sensors like radars, video and thermal imaging cameras is expected to significantly enhance the quality of sensed data, provide robust detection, monitoring and localization of human targets in barrier free and behind the barrier environments. However, several challenges related to type of radar sensor, transmitting waveform, sensor configuration and signal processing algorithms need to be dealt with. The proposed program addresses those challenges through theoretical and experimental analyses and provides a hybrid sensing solution along with advanced signal processing algorithms for detecting, locating humans, monitoring their vital signs and classifying various activities including speech in barrier free and behind the barrier scenarios.****The long term goals of this program is to develop a robust system using a hybrid suite of active and/or passive sensors for comprehensive detection, location of multiple human being and monitoring of their various activities and physiological states. Such a system will have wide range of monitoring applications from military to health care. The short term goal will develop a hybrid suite of radar sensors that can monitor both behind the barrier and barrier free enviroments while the research emphasis will be on development of advanced signal processing algorithms to detect and locate multiple human beings, monitor and estimate of their vital signs such as breathing and heart rates, extract their vital signal waveforms, identify and classify the human movements and activities as part of robust monitoring.****This program will train 6 Master students, 4 PhD Students and 2 Postdocs and 6 undergraduate students. The output of this program will lay the foundation for next generation stand-off monitoring systems for smart homes, provide patentable algorithms and technology, generate quality publications including 2 doctoral and 4 master theses and deliver a practical system that will improve the lives of Canadians and make them safe. **