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Assistive Visual Tool: Enhancing Safe Navigation with Video Remapping in AR Headsets

  • Arezoo Sadeghzadeh
  • , Md Baharul Islam
  • , Md Nur Uddin
  • , Tarkan Aydin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Visual Field Loss (VFL) is characterized by blind spots or scotomas that poses detrimental impact on fundamental movement activities of individuals. Addressing the challenges (e.g., low video quality, content loss, high levels of contradiction, and limited mobility assessment) faced by existing Extended Reality (XR) systems as vision aids, we introduce a groundbreaking method that enriches the real-time navigation using Augmented Reality (AR) glasses. Our novel vision aid employs advanced video processing techniques to enhance visual perception in individuals with moderate to severe VFL, bridging the gap to healthy vision. A unique optimal video remapping function, tailored to our selected AR glasses characteristics, dynamically maps live video content to the largest intact region of the Visual Field (VF) map. Our method preserves video quality, minimizing blurriness and distortion. Through a comprehensive empirical user study involving 29 subjects with artificially induced scotomas, statistical analyses of object counting and multi-tasking walking track tests demonstrate the promising performance of our method in enhancing visual awareness and navigation capability in real-time.

Original languageEnglish
Title of host publicationComputer Vision – ECCV 2024 Workshops, Proceedings
EditorsAlessio Del Bue, Cristian Canton, Jordi Pont-Tuset, Tatiana Tommasi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages356-371
Number of pages16
ISBN (Print)9783031925900
DOIs
Publication statusPublished - 2025
EventWorkshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024 - Milan, Italy
Duration: 29 Sept 20244 Oct 2024

Publication series

NameLecture Notes in Computer Science
Volume15634 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceWorkshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024
Country/TerritoryItaly
CityMilan
Period29/09/244/10/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Augmented reality
  • Empirical evaluation
  • Safe navigation
  • Video Remapping
  • Visual Aid

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