Gamified Digital Balance Assessment

NCT07088848 | Active Not Recruiting DMC

• 2 other identifiers: gamification in balance testSchool
• Study Type: interventional
• Target: 30
• Locations: 1 country
• Sites: 1

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.

Conditions

Disease Prevention

Outcome Measures

Primary Outcomes (1)

• Balance Performance:

  Balance ability was assessed using the digitalized Brief-BESTest

  Through intervention completion, an average of 10 mins

Secondary Outcomes (1)

• Fatigue level

  Through intervention completion, an average of 10 mins

Study Arms (2)

Control group

ACTIVE COMPARATOR

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.

Device: Gamified Digital Balance Assessment

Experimental group

EXPERIMENTAL

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.

Device: Digitalized Brief-BESTest design

Interventions

Gamified Digital Balance Assessment DEVICE

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

Control group

Digitalized Brief-BESTest design DEVICE

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

Experimental group

Eligibility Criteria

• Age: 60 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• 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.

You may not qualify if:

• 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

Sponsors & Collaborators

• Shanghai Jiao Tong University School of Medicine: lead

Study Sites (1)

Hongqiao Community

Shanghai, Shanghai Municipality, 200240, China

Location

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: INVESTIGATOR
• Purpose: SCREENING
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principle investigator

Study Record Dates

• First Submitted: July 19, 2025
• First Posted: July 28, 2025
• Study Start: April 20, 2025
• Primary Completion: August 10, 2025
• Study Completion: December 20, 2025
• Last Updated: July 28, 2025

Record last verified: 2025-07

Locations

CN (1)