Digital Twin Smart Educational Platform for Visually Impaired Navigation Training
A Digital Twin Smart Educational Platform for Simulating Physical Obstacles and Safe Navigation Training for the Saudi Visually Impaired
Studieoversigt
Status
Status
Betingelser
Betingelser
Intervention / Behandling
Intervention / Behandling
Detaljeret beskrivelse
Undersøgelsestype
Undersøgelsestype
Tilmelding (Faktiske)
Tilmelding
Fase
Fase
- Ikke anvendelig
Kontakter og lokationer
Studiesteder
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Cairo, Egypten
- Special Education Resource Rooms
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Deltagelseskriterier
Berettigelseskriterier
Berettigelseskriterier
Aldre berettiget til at studere
- Voksen
Tager imod sunde frivillige
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
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
- Primært formål: Støttende pleje
- Tildeling: Randomiseret
- Interventionel model: Parallel tildeling
- Maskning: Dobbelt
Antal våben
Våben og indgreb
Deltagergruppe / ArmDeltagergruppe / Arm |
Intervention / BehandlingIntervention / Behandling |
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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.
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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.
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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.
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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.
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Hvad måler undersøgelsen?
Primære resultatmål
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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Real-world Collision Rate (RCR)
Tidsramme: At the completion of the 10-session training curriculum (Week 5).
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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.
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At the completion of the 10-session training curriculum (Week 5).
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Samarbejdspartnere og efterforskere
Sponsor
Sponsor
Datoer for undersøgelser
Studer store datoer
Studiestart (Faktiske)
Studiestart
Primær færdiggørelse (Faktiske)
Primær færdiggørelse
Studieafslutning (Faktiske)
Studieafslutning
Datoer for studieregistrering
Først indsendt
Først indsendt
Først indsendt, der opfyldte QC-kriterier
Først indsendt, der opfyldte QC-kriterier
Først opslået (Faktiske)
Først opslået
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
Sidste opdatering sendt
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidst verificeret
Sidst verificeret
Mere information
Begreber relateret til denne undersøgelse
Nøgleord
Yderligere relevante MeSH-vilkår
Andre undersøgelses-id-numre
Andre undersøgelses-id-numre
- KSRG-2026-053-3
- KSRG-2026-053 (King Salman center for Disability Research)
Plan for individuelle deltagerdata (IPD)
Planlægger du at dele individuelle deltagerdata (IPD)?
Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter
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