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. **

拟议的研究计划的长期目标是开发一个系统，以全面检测活动以及对在自然环境中需要帮助的人的生理评估。例如，这包括跟踪老年人，痴呆症患者，儿童，囚犯的日常活动，以及发现老年人的跌倒以及突然危及生命的事件，例如心脏病发作。该项目将允许对一个人或与他人一起生活的人进行持续监控，或者同时监视几个人。 NSERC发现研究计划中采用的方法与基于智能家庭和对日常活动的认可的研究不同。在这里，仅提出了仅根据射频反向散射信号在现实环境中跟踪和评估多个人的生理状态的完整解决方案。 ***我们建议使用雷达系统远程非接触式定位，对活动的分类以及估计其呼吸率。雷达系统将通过新开发的被动射频识别（RFID）系统进行增强，该系统将有助于在多个人之间进行本地化和区分。在跟踪和监视单个人时，仅雷达非接触的解决方案就足够了。 ***这项研究将非常重视开发新算法的本地化算法，呼吸率估计，分类和学习人们基于雷达和RFID系统的信号的活动。将开发用于确定到达方向的RFID阅读器的新硬件和算法。该算法将是强大的，并且设计用于在现实的环境中运行。 ***这项为期5年的课程将接受五名研究生和两个博士后研究员的培训。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，它有可能大大节省医疗费用，因为它将允许医务人员发现正在进行的事件，例如老年人的跌倒并按时做出反应。 **