Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults

NIH RePORTER · NIH · P30 · $278,149 · view on reporter.nih.gov ↗

Abstract

Detecting Agitation in Persons with AD/ADRD in a Nursing Home Using AI-based Facial Expression Analysis ABSTRACT 50% of nursing home residents have moderate or severe cognitive impairment. Persons with advanced AD/ADRD are often no longer able to communicate verbally. Agitation, which is found in 80% of residents with AD/ADRD, can pose a major problem for the resident, their family and professional caregivers. The inability to successfully manage AD/ADRD behaviors, often results in increased burden on caregivers and use of antipsychotic and other psychotropic medications which may have severe adverse effects. COVID-19 has also increased agitation incidents among residents with AD/ADRD and increased distress levels in both residents and caregivers. In this project we will integrate an AI-based facial expression analysis software with an autonomous navigating robot and validate that the integrated system can visit nursing home residents with advanced AD/ADRD and detect agitation.

Key facts

NIH application ID
10652011
Project number
3P30AG073104-02S4
Recipient
JOHNS HOPKINS UNIVERSITY
Principal Investigator
Peter M. Abadir
Activity code
P30
Funding institute
NIH
Fiscal year
2022
Award amount
$278,149
Award type
3
Project period
2021-09-30 → 2026-05-31