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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17430420 |
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| author | Irianto Jamil Abedalrahim Jamil Alsayaydeh Hatem T M Duhair Rostam Affendi Bin Hamzah Wesam Almobaideen Vadym Shkarupylo |
| author_facet | Irianto Jamil Abedalrahim Jamil Alsayaydeh Hatem T M Duhair Rostam Affendi Bin Hamzah Wesam Almobaideen Vadym Shkarupylo |
| contents | <p><span lang="EN-GB">Independent mobility for individuals with visual impairments is often hindered by ground-level hazards such as curbs, steps, and low obstacles that are challenging to detect reliably with only camera or mid-torso sensors. We present a foot-mounted assistive system that centres perception at the shoe and keeps all navigation decisions on-device to minimise latency and protect privacy. The prototype integrates a toe-box ultrasonic transducer, a Raspberry Pi 3 B+ controller, and vibrotactile/audio cues synchronised to gait; an optional Android viewer provides event-only telemetry under explicit user consent. Methodologically, we make the timing convention explicit and calibrate the ultrasonic pipeline to round-trip time-of-flight with temperature compensation. Bench characterisation over 0.05–0.80 m shows near-perfect linearity (R² ≈ 0.99998) and an implied acoustic speed of ~340 m s⁻¹, confirming end-to-end timing fidelity. In formative indoor walking trials, end-to-end warning latency remained below a 150–200 ms budget while a three-state policy (clear/caution/stop) avoided threshold chatter and maintained cue discriminability. The results indicate that foot-proximal ultrasound, when correctly calibrated and paired with gait-aware feedback, provides fast, illumination-agnostic awareness of trip hazards without imposing continuous video streaming or cloud reliance. We conclude with a discussion of limitations (pilot scale, mostly indoor scenes) and outline a path to a larger, protocolized study that includes outdoor conditions, standardised usability metrics, and optional sensor fusion.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17430420 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Foot-Proximal Sensing for Safe Mobility: A Privacy-Preserving Smart Shoe with Calibrated Ultrasonic Ranging and Gait-Aligned Feedback Irianto Jamil Abedalrahim Jamil Alsayaydeh Hatem T M Duhair Rostam Affendi Bin Hamzah Wesam Almobaideen Vadym Shkarupylo <p><span lang="EN-GB">Independent mobility for individuals with visual impairments is often hindered by ground-level hazards such as curbs, steps, and low obstacles that are challenging to detect reliably with only camera or mid-torso sensors. We present a foot-mounted assistive system that centres perception at the shoe and keeps all navigation decisions on-device to minimise latency and protect privacy. The prototype integrates a toe-box ultrasonic transducer, a Raspberry Pi 3 B+ controller, and vibrotactile/audio cues synchronised to gait; an optional Android viewer provides event-only telemetry under explicit user consent. Methodologically, we make the timing convention explicit and calibrate the ultrasonic pipeline to round-trip time-of-flight with temperature compensation. Bench characterisation over 0.05–0.80 m shows near-perfect linearity (R² ≈ 0.99998) and an implied acoustic speed of ~340 m s⁻¹, confirming end-to-end timing fidelity. In formative indoor walking trials, end-to-end warning latency remained below a 150–200 ms budget while a three-state policy (clear/caution/stop) avoided threshold chatter and maintained cue discriminability. The results indicate that foot-proximal ultrasound, when correctly calibrated and paired with gait-aware feedback, provides fast, illumination-agnostic awareness of trip hazards without imposing continuous video streaming or cloud reliance. We conclude with a discussion of limitations (pilot scale, mostly indoor scenes) and outline a path to a larger, protocolized study that includes outdoor conditions, standardised usability metrics, and optional sensor fusion.</span></p> |
| title | Foot-Proximal Sensing for Safe Mobility: A Privacy-Preserving Smart Shoe with Calibrated Ultrasonic Ranging and Gait-Aligned Feedback |
| url | https://doi.org/10.5281/zenodo.17430420 |