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

> **NIH NIH P30** · JOHNS HOPKINS UNIVERSITY · 2022 · $278,149

## 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 organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** Peter M. Abadir
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $278,149
- **Award type:** 3
- **Project period:** 2021-09-30 → 2026-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10652011

## Citation

> US National Institutes of Health, RePORTER application 10652011, Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults (3P30AG073104-02S4). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10652011. Licensed CC0.

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