Development and Validation of Dynamic Balance Metrics to Predict Fall Risk

Knight Research Scholars Program Project

Development and Validation of Dynamic Balance Metrics to Predict Fall Risk

Learn about this research project, meet the faculty and student researchers, review participation expectations, and check current availability.

Project Availability

Team Size
14 team members
Open Spots
0 Team currently full
Affiliations
College of Medicine
Team Leader
Faculty Mentor

  • Ladda Thiamwong, PhD, RN, FAAN, FNAP

Team Member Qualifications

Our research is a community-based program that delivers fall risk screening to senior centers within a 30-minute driving radius from UCF. We are looking for students to work directly with participants to administer data collection, using wearable insoles and install a mobile application for assessing cognition; process data that has been recorded (insole and video recordings) by re-encoding, trimming, and synchronizing; provide assistance with a literature review (as needed).
Required: Several hours of availability on the weekends and fluent in Spanish.

Description

This project aims to pilot-test a model of assessing fall risk appraisal including (1) repeated cognitive and subjective questionnaires in real-world settings using a smartphone application and (2) accessible and objective metrics of gait extracted from video recordings and compared to wearable insole sensors. This project expects to empower LOW for monitoring their fear of falling and gait performance.
We will also be providing older adults with tools for fall prevention and conducting screening of body composition, balance, physical function, bloodwork, and cognitive abilities.