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Gamified Digital Balance Assessment

Evaluating the Effectiveness of a Gamification in Balance Assessment Tools

Status
Active, not recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07088848
Enrollment
30
Registered
2025-07-28
Start date
2025-04-20
Completion date
2025-12-20
Last updated
2025-07-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Disease Prevention

Brief summary

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.

Interventions

DEVICEGamified Digital Balance Assessment

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

DEVICEDigitalized Brief-BESTest design

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

Sponsors

Shanghai Jiao Tong University School of Medicine
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
SINGLE (Investigator)

Eligibility

Sex/Gender
ALL
Age
60 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* aged 60 or older, living independently, able to walk with or without an assistive device (without external help), willing and able to provide informed consent.

Exclusion criteria

* conditions that impede walking (e.g., hip fractures, lower limb amputations, hemiparesis), medications causing dizziness or affecting balance (e.g., psychotropic drugs), self-reported cardiovascular, pulmonary, neurological, musculoskeletal, or mental disorders, severe fatigue or pain, severe uncorrected vision or hearing impairments that may affect their ability to interact with the digital system

Design outcomes

Primary

MeasureTime frameDescription
Balance Performance:Through intervention completion, an average of 10 minsBalance ability was assessed using the digitalized Brief-BESTest

Secondary

MeasureTime frameDescription
Fatigue levelThrough intervention completion, an average of 10 minsMotivational engagement was evaluated using the Intrinsic Motivation Inventory (IMI)

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026