Awardee Organization(s): Viginia Commonwealth University
Principal Investigator(s): Jane Chung, PhD, RN | Eyuphan Bulut, PhD | Ingrid Pretzer-Aboff, PhD, RN
Official Project Title: A Device Free WiFi Sensing System to Assess Daily Activities and Mobility in Low-Income Older Adults With and Without Cognitive Impairment
AITC Partner: PennAITech
Website(s):
https://nursing.vcu.edu
https://egr.vcu.edu
Low-income older adults face an increased risk of cognitive impairment and dementia. Cognitive impairment affects the ability to perform and manage daily activities and mobility behaviors. Detecting the changes in these abilities early is crucial but often difficult among low-income older adults due to limited resources. Our ultimate goal is to meet the unmet needs of low-income older adults by creating a cutting-edge system that uses Wi-Fi signals to localize and recognize different patterns of in-home activities and mobility. We will employ machine learning algorithms to process the Channel State Information of the collected Wi-Fi signals and extract different activity features. Our system will automatically categorize and quantify daily activities such as sitting, walking, meal preparation, watching TV, phone use, and leaving the home. Our project will gather Wi-Fi signal-based activity patterns and frequencies, selfreported physical function and psychosocial health data, and older adults’ feedback on technology acceptance and implementation. This innovative project aims to empower low-income older adults by harnessing the power of Wi-Fi sensing technology and machine learning to detect cognitive decline as early as possible. By providing an accessible and cost-effective solution, we can improve the lives of vulnerable older adults and enhance their brain health.
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