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

随着人口老龄化的增长，人们正在寻求传感器驱动的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，保持认知功能和移动性以及控制医疗问题的挑战也随之而来。因此，正在进行的对智能、环境感知技术的研究将提高老年人的生活质量，同时降低医疗保健服务的成本。 拟议的发现项目将建立在申请人对众多环境传感器，触摸传感器和传感器系统的研究的基础上，以监测健康并扩展数据分析，数据融合以及大型数据集的通信和存储领域的专业知识。 具体来说，移动领域的大数据将通过研究传感器系统来评估认知受损者的步态。此外，将探索来自同一人群的大型EEG数据集，以识别与认知能力下降相关的信号变化。 这个多学科项目将有助于开发来自多个传感器的先进数据采集和处理技术，为认知和功能衰退的高级预警信号提供新的见解。从长远来看，该项目将支持开发一个同类第一的综合评估系统，以不引人注目地监测认知和移动性，帮助保障老龄人口的健康和独立性。

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.