NIH-funded research NIH-funded research

Preventing Falls in Older Adults Using Floor Vibrations to Detect Falls and Gait Changes

Official title: Mitigating Injurious Falls in Older Adults Through Non-Injurious Fall and Gait Analysis From Floor Vibrations

Funded at Advanced Smart Systems/evaluation Techno · NIH-11420561 · Data updated 2026-11-12

A new approach aims to detect falls and gait changes in people aged 65 and older by analyzing floor vibrations, with the goal of preventing injuries and reducing fall-related costs.

More Gait research and trials

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionAdvanced Smart Systems/evaluation Techno
NIH-funded
Lab location1 site (Columbia, United States)
Project startSeptember 30, 2018
Project endMay 31, 2027
Funding year2026
Award (this year)$1,629,186
NIH project number5R42AG059475-05
Project IDNIH-11420561 on NIH RePORTER

Who could benefit from this research

Could help

Adults 65 years and older, including those with Alzheimer's disease and related dementias, in community or care-facility settings.

Less likely to help

Individuals under 65 or those without mobility or cognitive concerns may not directly benefit from this technology.

What this research studies

This project looks at how floor vibrations can reveal when an older adult is at risk of falling, including those with dementia. It moves beyond wearable pendants by offering an automatic, patient-independent way to monitor gait and detect falls. The study will collect vibration data and develop analysis methods to identify dangerous gait patterns and early signs of instability. If successful, it could lead to real-time alerts and safer environments for seniors in homes and care facilities.

Why it matters

Potential benefit: If successful, this technology could help caregivers and facilities prevent falls and speed up assistance for at-risk seniors.

How similar studies have gone: Prior fall-detection systems rely on wearables; this project aims to improve detection using floor sensors, a novel approach with some prior related work.

Where this research is happening

  • Advanced Smart Systems/evaluation Techno
    Columbia, United States
    Active

Researchers

  • Principal investigator: Fritz, Stacy Lynne — Advanced Smart Systems/evaluation Techno
  • Study coordinator: Fritz, Stacy Lynne

Related research

Other NIH-funded projects on the same topics.

  • Preventing injurious falls in older adults using floor vibration and gait monitoring

    A floor-mounted vibration system aims to detect falls and changes in walking in older adults, including people with dementia, so help can arrive faster and injuries can be reduced.

    NIH research Advanced Smart Systems/evaluation Techno · Columbia, United States · NIH-11185349

  • Fall risk clues after stroke to help prevent future falls

    Researchers are testing a quick fall-risk tool for people recently discharged after stroke to better predict and prevent falls.

    NIH research Mgh Institute of Health Professions · Charlestown, UNITED STATES · NIH-11367564

  • Wearable movement monitoring to spot fall risk in older adults

    This project uses a small wearable sensor worn during daily life to find walking and activity patterns that help identify older adults who are more likely to fall.

    NIH research Brigham and Women's Hospital · Boston, United States · NIH-11307017

  • Predicting Fall Risk for People Using Lower-Limb Prostheses

    This project aims to find better ways to predict who might fall among people who use lower-limb prostheses by studying their walking patterns.

    NIH research Rehabilitation Institute of Chicago D/b/a Shirley Ryan Abilitylab · Chicago, United States · NIH-11181242

  • Training to improve balance and reduce falls in people after a stroke

    This study is all about helping people who have had a stroke improve their balance and lower their chances of falling by trying out new training methods that focus on specific balance issues.

    NIH research Medical University of South Carolina · Charleston, United States · NIH-11061902

  • Predicting falls in older adults using everyday walking patterns

    This study is looking at how the way older adults walk can help us understand their risk of falling, using special devices to track their movements over a week, so we can find those who might need extra support to stay safe.

    NIH research Brigham and Women's Hospital · Boston, United States · NIH-11041100

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.