Smartphone-based computer vision travelling aids for blind and visually impaired individuals: A systematic review.

Given the growth in the numbers of visually impaired (VI) people in low-income countries, the development of affordable electronic travel aid (ETA) systems employing devices, sensors, and apps embedded in ordinary smartphones becomes a potentially cost-effective and reasonable all-in-one solution of...

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Publicado en:Assistive Technology Vol. 34; no. 2; pp. 178 - 195
Autores principales: Budrionis, Andrius, Plikynas, Darius, Daniušis, Povilas, Indrulionis, Audrius
Formato: research systematic review tables/charts Journal Article
Publicado: Taylor & Francis Ltd 2022
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Taylor & Francis Ltd
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        atl: Smartphone-based computer vision travelling aids for blind and visually impaired individuals: A systematic review.
      aug:
        au:
          Budrionis, Andrius
          Plikynas, Darius
          Daniušis, Povilas
          Indrulionis, Audrius
        affil: Department of Business Technologies and Entrepreneurship, Vilnius Gediminas Technical University, Vilnius, Lithuania
      sug:
        subj:
          Smartphone
          Artificial Intelligence
          Travel
          Blindness
          Vision Disorders
          Human
          Systematic Review
          Sensory Aids
          PubMed
          Assistive Technology Devices
      ab: Given the growth in the numbers of visually impaired (VI) people in low-income countries, the development of affordable electronic travel aid (ETA) systems employing devices, sensors, and apps embedded in ordinary smartphones becomes a potentially cost-effective and reasonable all-in-one solution of utmost importance for the VI. This paper offers an overview of recent ETA research prototypes that employ smartphones for assisted orientation and navigation in indoor and outdoor spaces by providing additional information about the surrounding objects. Scientific achievements in the field were systematically reviewed using PRISMA methodology. Comparative meta-analysis showed how various smartphone-based ETA prototypes could assist with better orientation, navigation, and wayfinding in indoor and outdoor environments. The analysis found limited interest among researchers in combining haptic interfaces and computer vision capabilities in smartphone-based ETAs for the blind, few attempts to employ novel state-of-the-art computer vision methods based on deep neural networks, and no evaluations of existing off-the-shelf navigation solutions. These results were contrasted with findings from a survey of blind expert users on their problems in navigating in indoor and outdoor environments. This revealed a major mismatch between user needs and academic development in the field.
      pubtype: Academic Journal
      doctype:
        research
        systematic review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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