Automated Monitoring and Localization of People

人员的自动监控和定位

• 批准号: RGPIN-2015-04270
• 负责人: Bolic, Miodrag
• 金额: $ 1.82万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=680311
• 关键词: Automated; Monitoring; Localization; People

The long-term objective of the proposed research program is to develop a system for comprehensive detection of activities as well as physiological assessment of people who need assistance in their natural environments. For example, this includes tracking the daily activities of elderly people, people with dementia, children, inmates, as well as detecting falls of elderly people and sudden life-threatening events such as heart attack. This project will allow for continuous monitoring of a person who lives alone or with other people, or for simultaneous monitoring of several people. The approach taken in this NSERC Discovery research program differs from research based on smart home and recognition of daily activities. Here, a complete solution for tracking and assessment of physiological states of multiple people in realistic environments based only on radio-frequency backscattering signals is proposed. *** We propose using a radar system for remote contactless localization of people, classification of their activities as well as estimation of their breathing rates. The radar system will be augmented with newly developed passive radio frequency identification (RFID) system that will assist in localization and distinguishing among multiple people. In cases when a single person is tracked and monitored, radar-only non-contact-based solution is sufficient. *** This research will place a strong emphasis on the development of new algorithms for localization, breathing rate estimation, classification and learning about the activities of people based on signals from radar and RFID systems. New hardware and algorithms for the RFID reader for determining direction of arrivals will be developed. The algorithms will be robust and designed to operate in realistic environments. *** Five graduate students and two post-doctoral fellows will be trained in this 5-year program. The project is important for Canada because it will result in improving quality of life of the people of Canada and abroad. In addition, it has a potential to result in significant savings in health-care costs because it will allow medical workers to detect events in progress, such as falls of elderly people, and to react on time. **

拟议研究计划的长期目标是开发一个系统，对在自然环境中需要帮助的人进行全面的活动检测和生理评估。例如，这包括跟踪老年人、痴呆症患者、儿童、囚犯的日常活动，以及检测老年人跌倒和心脏病等突发危及生命的事件。该项目将允许对独居或与其他人一起生活的人进行连续监测，或同时监测多个人。 NSERC Discovery 研究项目采用的方法不同于基于智能家居和日常活动识别的研究。这里，提出了一种仅基于射频反向散射信号来跟踪和评估现实环境中多人生理状态的完整解决方案。 *** 我们建议使用雷达系统对人员进行远程非接触式定位、对其活动进行分类以及估计其呼吸频率。新开发的无源射频识别（RFID）系统将增强雷达系统，该系统将有助于定位和区分多人。在跟踪和监视单个人的情况下，仅基于雷达的非接触式解决方案就足够了。 *** 这项研究将重点关注基于雷达和 RFID 系统信号的定位、呼吸频率估计、分类和了解人类活动的新算法的开发。将开发用于确定到达方向的 RFID 读取器的新硬件和算法。这些算法将非常稳健，并且旨在在现实环境中运行。 *** 该项目为期五年，将培养五名研究生和两名博士后。该项目对加拿大很重要，因为它将改善加拿大和国外人民的生活质量。此外，它还有可能显着节省医疗保健成本，因为它将使医务人员能够发现正在进行的事件，例如老年人跌倒，并及时做出反应。 **