# Automated Video Monitoring Algorithm Development to Reduce Falls in Hospitals from Chair Exits

> **NIH NIH R43** · OCUVERA LLC · 2020 · $150,000

## Abstract

Project Summary
The goal of the proposed SBIR project is to demonstrate the feasibility of developing custom algorithms to
reduce the risk of falls associated with unassisted chair exits in hospital settings. The project will focus on
predicting unassisted patient chair exits before they occur to provide nursing staff with additional lead time to
address patient needs and prevent potential fall situations. The system will use data from three-dimensional
(3D) video processing to develop algorithms that will monitor for changes in patient movement to predict when
a patient will exit a chair in the near future. Specific Aims include: identifying video containing patient chair exits
from Ocuvera’s database of recorded three-dimensional patient video obtained from previous studies;
detecting and modeling chairs of various types; and designing new algorithms for predicting and detecting exits
from chairs. Results include reporting of simulations of algorithm performance using Ocuvera’s proprietary
algorithm-testing system. If successful, this study would show Ocuvera’s potential as an innovative technology
with the ability to reduce unattended chair exits, which represents a significant opportunity to reduce fall rates
and improve outcomes for patients, hospitals, and nursing staff.

## Key facts

- **NIH application ID:** 10081180
- **Project number:** 1R43AG069646-01
- **Recipient organization:** OCUVERA LLC
- **Principal Investigator:** Lucas Sabalka
- **Activity code:** R43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $150,000
- **Award type:** 1
- **Project period:** 2020-08-15 → 2021-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10081180

## Citation

> US National Institutes of Health, RePORTER application 10081180, Automated Video Monitoring Algorithm Development to Reduce Falls in Hospitals from Chair Exits (1R43AG069646-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10081180. Licensed CC0.

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