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Digital Twin Smart Educational Platform for Visually Impaired Navigation Training

8. juni 2026 opdateret af: Abdellah Ibrahim Mohammed Elfeky, King Salman Center for Disability Research

A Digital Twin Smart Educational Platform for Simulating Physical Obstacles and Safe Navigation Training for the Saudi Visually Impaired

This study evaluates a novel digital twin smart educational platform designed to train visually impaired individuals on safe navigation in Saudi urban environments. Independent mobility is challenging for visually impaired people due to dynamic hazards and architectural changes. This interventional study utilizes an advanced computer simulation (digital twin) modeled after real streets in Jeddah, Saudi Arabia. Participants are randomly assigned to either the experimental group (receiving training via the adaptive digital twin platform with 3D spatial audio and wearable haptic feedback) or the control group (receiving traditional orientation and mobility instruction). The training consists of 10 structured sessions over 5 weeks. The primary goal is to determine…

Studieoversigt

Detaljeret beskrivelse

The purpose of this study is to examine the engineering validity and pedagogical efficacy of the Adaptive Multi-modal Reality Learning Environment (AMRLE) for visually impaired orientation and mobility (O&M) training. The platform features a three-tier architecture: Data Acquisition Tier: Utilizing Mobile Laser Scanning (MLS) and LiDAR point clouds to generate high-fidelity 3D environments compliant with the Saudi Building Code (SBC 201) universal access standards. Processing Tier: Running a custom 3D simulation engine embedded with an AI-driven adaptive algorithm. The algorithm dynamically adjusts environmental complexity and obstacle density based on the user's real-time collision metrics and path deviation speeds. Human Interaction Tier: Delivering sensory...

Undersøgelsestype

Interventionel

Tilmelding (Faktiske)

30

Fase

  • Ikke anvendelig

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiesteder

      • Cairo, Egypten
        • Special Education Resource Rooms

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

  • Voksen

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Beskrivelse

Inclusion Criteria:

  • Certified clinical diagnosis of severe visual impairment or legal blindness.
  • Aged between 18 and 60 years old.
  • Physical ability to walk independently and unassisted for at least 15 continuous minutes.
  • Cognitive and neurological competence to comprehend and interact with multi-modal software telemetry.
  • Baseline proficiency in using accessibility screen-reader features on mobile devices.

Exclusion Criteria:

  • Profound sensorineural hearing loss or auditory dysfunction that prevents 3D spatial binaural sound localization.
  • Active upper or lower-limb motor neuropathies that disrupt the perception of haptic micro-actuator vibrations.
  • History of severe vestibular disorders, severe motion sickness, or inner ear syndromes causing chronic dizziness.
  • Current participation in concurrent physical orientation and mobility clinical trials.

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

  • Primært formål: Støttende pleje
  • Tildeling: Randomiseret
  • Interventionel model: Parallel tildeling
  • Maskning: Dobbelt

Våben og indgreb

Deltagergruppe / Arm
Intervention / Behandling
Eksperimentel: Experimental: AMRLE Group
Participants assigned to this group will undergo orientation and mobility (O&M) training within the Adaptive Multi-modal Reality Learning Environment (AMRLE) powered by a dynamic Digital Twin simulation engine. Over a 5-week curriculum comprising 10 structured sessions (25 minutes per session), trainees interact with virtual replicas of real-world Saudi urban layouts. The system delivers non-visual feedback using low-latency 3D spatial binaural audio and localized directional haptic/vibrotactile device telemetry. An AI-driven optimization model automatically scales environmental complexity and obstacle generation based on real-time participant performance loops.
A structured 10-session orientation and mobility (O&M) curriculum distributed over 5 weeks (2 sessions/week, 25 minutes/session). The intervention leverages a dynamic digital twin simulation engine of Saudi urban spaces to proactively train visually impaired users on hazard mitigation. Trainees navigate via non-visual multi-modal feedback loops: 3D spatialized binaural audio (HRTF) pings indicating structural pathways, combined with directional haptic/vibrotactile vest telemetry for real-time proximity boundaries. An AI optimization model continuously adjusts environmental complexity and obstacle generation (static, semi-dynamic, and crowded scenarios) matching the real-time collision metrics of the participant to prevent learning plateaus and optimize cognitive mapping.
Aktiv komparator: Active Control: Conventional O&M Group
Participants assigned to this control group will undergo standard, conventional orientation and mobility (O&M) rehabilitation instructions. Over a 5-week period consisting of 10 structured training sessions (25 minutes per session), trainees practice navigation along fixed real-world paths using traditional white canes. The instruction relies entirely on conventional tactile maps, physical paving cues, and static verbal orientation scripts provided by an O&M instructor. No virtual reality simulators, adaptive AI algorithms, or high-fidelity digital twin interventions are utilized.
A structured 10-session orientation and mobility (O&M) curriculum distributed over 5 weeks (2 sessions/week, 25 minutes/session). The intervention leverages a dynamic digital twin simulation engine of Saudi urban spaces to proactively train visually impaired users on hazard mitigation. Trainees navigate via non-visual multi-modal feedback loops: 3D spatialized binaural audio (HRTF) pings indicating structural pathways, combined with directional haptic/vibrotactile vest telemetry for real-time proximity boundaries. An AI optimization model continuously adjusts environmental complexity and obstacle generation (static, semi-dynamic, and crowded scenarios) matching the real-time collision metrics of the participant to prevent learning plateaus and optimize cognitive mapping.

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Real-world Collision Rate (RCR)
Tidsramme: At the completion of the 10-session training curriculum (Week 5).
The cumulative number of physical obstacle impacts or structural contact errors recorded per 100 meters during the final real-world post-test field navigation trial.
At the completion of the 10-session training curriculum (Week 5).

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Faktiske)

7. januar 2026

Primær færdiggørelse (Faktiske)

29. april 2026

Studieafslutning (Faktiske)

19. maj 2026

Datoer for studieregistrering

Først indsendt

4. juni 2026

Først indsendt, der opfyldte QC-kriterier

8. juni 2026

Først opslået (Faktiske)

11. juni 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

11. juni 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

8. juni 2026

Sidst verificeret

1. juni 2026

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • KSRG-2026-053-3
  • KSRG-2026-053 (Andet bevillings-/finansieringsnummer: King Salman center for Disability Research)

Plan for individuelle deltagerdata (IPD)

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Kliniske forsøg med Synshandicap

Kliniske forsøg med Adaptive Multi-modal Digital Twin Navigation Training

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