Hongqiao Community
Shanghai, Shanghai Municipality, 200240, China
NCT Number: NCT07088848
A randomized controlled trial involving 30 older adults will compare the digitalized Brief-BESTest and the GDBA. Quantitative outcomes included perceived exertion, enjoyment, competence, pressure, and intention to continue use. Qualitative interviews explore user experience.
This study is active but is not currently recruiting participants.
60 year and older
All sexes
Interventional
Not applicable
Shanghai, Shanghai Municipality, 200240, China
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The GDBA further enhances the digitalized Brief-BESTest experience by incorporating gamification elements tailored to older adults, including points, avatars, real-time performance graphs, and leaderboards. The system provides automated feedback and maintains engagement through periodic avatar demonstrations when user inactivity is detected. Upon meeting task initiation criteria, a countdown triggers data capture.
The interface is designed for accessibility, featuring a high-contrast color scheme (black background with orange/green highlights), voice prompts, and intuitive controls. Upon completion, users receive a comprehensive report including total score, task-level feedback and training recommendations. A leaderboard feature promotes continued engagement, with gamified training modules under development.
At the end of the assessment, the system displays a summary including total balance score, task-specific feedback, a fall risk rating, and personalized training suggestions. Users
The digitalized Brief-BESTest was designed to digitize and automate the Brief-BESTest. While the traditional clinician-administered Brief-BESTest relies on subjective scoring, the digitalized Brief-BESTest enables self-guided assessments with automated, objective scoring-improving accessibility in community and home settings.
The system employs OpenPose to capture skeletal data via a standard 2D camera, tracking 17 anatomical landmarks (e.g., nose, neck, shoulders, hips, knees). Ten joint angles relevant to static and dynamic postural tasks (e.g., standing, sitting, single-leg stance, and simulated falls) are computed. The torso is defined as a vector from the neck to the midpoint between the hips, serving as a reference for postural alignment.
To convert pixel-based coordinates into metric units, the system uses the user's self-reported height with adjustments based on ISO anthropometric standards (correction factors: 10.77 cm for males, 10.06 cm for females) to approximate true body
Time frame: Through intervention completion, an average of 10 mins
Balance ability was assessed using the digitalized Brief-BESTest
Time frame: Through intervention completion, an average of 10 mins
Motivational engagement was evaluated using the Intrinsic Motivation Inventory (IMI)
Shanghai Jiao Tong University School of Medicine
Other
Evaluating the Effectiveness of a Gamification in Balance Assessment Tools
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT07175896
Chronic Disease, Chronic Kidney Disease
Durham, North Carolina, United States
View Trial DetailsNCT06672432
Disease Prevention, Perinatal Depression
Chengdu, Sichuan, China
View Trial DetailsNCT04416919
COVID-19, Coronaviridae Infections
Oklahoma City, Oklahoma, United States
View Trial Details