Analyzing Data from Sensors and Smart Environments to Monitor Mobility and Cognition

分析来自传感器和智能环境的数据以监控移动性和认知

• 批准号: RGPIN-2016-06210
• 负责人: Knoefel, Frank
• 金额: $ 2万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=616163
• 关键词: Analyzing; Data; Sensors; Smart; Environments

As the aging population grows, sensor-driven technologies are being sought to support older adults in their quest to maintain their health, quality-of-life, and independence. With increasing age, comes the challenge of maintaining cognitive function and mobility as well as keeping medical problems under control. Ongoing research into smart, context-aware technologies which allow older adults to live independently will therefore improve their quality of life, while reducing the cost of healthcare delivery. The proposed discovery project will build on the applicant's research into numerous ambient sensors, touch sensors and sensor systems to monitor health and expand expertise in the area of data analytics, data fusion as well as communications and storage of large data sets. Specifically, ‘big data’ in the area of mobility will be investigated by researching sensor systems to assess gait amongst the cognitively-impaired. In addition, large EEG data sets from the same population group will be explored to identify signal changes that correlate with cognitive decline. This multidisciplinary project will contribute to development of advanced data acquisition and processing techniques from multiple sensors, providing new insights into advanced ‘warning signs’ of cognitive and functional decline. Over the long term, this project will support the development of a first-of-its-kind integrated assessment system to unobtrusively monitor cognition and mobility, helping to safeguard the health and independence of the aging population.

随着老龄化人口的增长，人们正在寻求传感器驱动技术来支持老年人保持健康、生活质量和独立性。随着年龄的增长，维持认知功能和活动能力以及控制医疗问题的挑战也随之而来。正在进行的智能、环境感知技术研究将使老年人能够独立生活，从而提高他们的生活质量，同时降低医疗保健服务的成本。