Detecting falls in older adults at home using advanced technology
Using Structured Light Sensing with Machine Learning to Detect Unwitnessed In-Home Falls
This study is testing a new system that helps keep older adults safe by automatically spotting falls at home, so they can get help quickly if they need it.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Applied Universal Dynamics Corporation NIH-funded |
| Lab location | 1 site (Loretto, United States) |
| Project ID | NIH-10934599 on NIH RePORTER |
What this research studies
This research focuses on developing a new system that can automatically detect falls in older adults living alone or those with mild to moderate cognitive impairment. By utilizing structured light sensing technology, the system creates 3D images of the environment to identify motion patterns indicative of a fall. This approach aims to provide timely alerts for assistance, reducing the risks associated with prolonged periods of lying on the floor after a fall. The project builds on previous successful phases to enhance the effectiveness and reliability of in-home fall monitoring.
Who could benefit from this research
Good fit: Ideal candidates for this research are older adults aged 65 and above, particularly those living alone or experiencing mild to moderate cognitive impairment.
Not a fit: Patients who are younger than 65 or those who do not experience cognitive impairment may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce the number of serious injuries and deaths from falls among older adults by ensuring quicker assistance.
How similar studies have performed: Previous research has shown promise in using technology for fall detection, making this approach a continuation of successful methodologies.
Where this research is happening
Loretto, United States
- Applied Universal Dynamics Corporation — Loretto, United States (Active)
Researchers
- Principal investigator: Gibson, Paul — Applied Universal Dynamics Corporation
- Study coordinator: Gibson, Paul
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.