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
Studieoversikt
Status
Status
Forhold
Forhold
Intervensjon / Behandling
Intervensjon / Behandling
Detaljert beskrivelse
Studietype
Studietype
Registrering (Faktiske)
Registrering
Fase
Fase
- Ikke aktuelt
Kontakter og plasseringer
Studiesteder
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-
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Cairo, Egypt
- Special Education Resource Rooms
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-
Deltakelseskriterier
Kvalifikasjonskriterier
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
- Voksen
Tar imot friske 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 studiet utformet?
Designdetaljer
- Primært formål: Støttende omsorg
- Tildeling: Randomisert
- Intervensjonsmodell: Parallell tildeling
- Masking: Dobbelt
Antall våpen
Våpen og intervensjoner
Deltakergruppe / ArmDeltakergruppe / Arm |
Intervensjon / BehandlingIntervensjon / Behandling |
|---|---|
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Eksperimentell: 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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Hva måler studien?
Primære resultatmål
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
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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Samarbeidspartnere og etterforskere
Sponsor
Sponsor
Studierekorddatoer
Studer hoveddatoer
Studiestart (Faktiske)
Studiestart
Primær fullføring (Faktiske)
Primær fullføring
Studiet fullført (Faktiske)
Studiet fullført
Datoer for studieregistrering
Først innsendt
Først innsendt
Først innsendt som oppfylte QC-kriteriene
Først innsendt som oppfylte QC-kriteriene
Først lagt ut (Faktiske)
Først lagt ut
Oppdateringer av studieposter
Sist oppdatering lagt ut (Faktiske)
Sist oppdatering lagt ut
Siste oppdatering sendt inn som oppfylte QC-kriteriene
Siste oppdatering sendt inn som oppfylte QC-kriteriene
Sist bekreftet
Sist bekreftet
Mer informasjon
Begreper knyttet til denne studien
Nøkkelord
Ytterligere relevante MeSH-vilkår
Andre studie-ID-numre
Andre studie-ID-numre
- KSRG-2026-053-3
- KSRG-2026-053 (King Salman center for Disability Research)
Plan for individuelle deltakerdata (IPD)
Planlegger du å dele individuelle deltakerdata (IPD)?
Legemiddel- og utstyrsinformasjon, studiedokumenter
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