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Optimization of navigation considerations of people with visual impairments through ambient intelligence: a case study

Published: 30 June 2020 Publication History

Abstract

As urbanization progresses, cities are becoming increasingly complex. To make this complexity advantageous, Smart Cities integrate intelligent sensors that communicate with each other and are invisible to citizens, so that they can offer additional services. Despite the fact that the inclusion of diverse citizens is an essential requirement of Smart Cities, Ambient Intelligence is often not considered under accessibility aspects.
The central question in this context is how disadvantaged groups in particular can benefit from Smart Cities. It is extremely important for people with disabilities to be able to move autonomously in public spaces. For this purpose, however, people who are blind sometimes need to be able to ask other people for directions. Knowing whether people are present can be important information. In our exemplary case study, Ambient Intelligence is used for people with visual impairments, so that they can decide whether they want to go to this or an alternative place based on the information about the density of people in a place.

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      cover image ACM Other conferences
      PETRA '20: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments
      June 2020
      574 pages
      ISBN:9781450377737
      DOI:10.1145/3389189
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      • NSF: National Science Foundation
      • CSE@UTA: Department of Computer Science and Engineering, The University of Texas at Arlington
      • NCRS: Demokritos National Center for Scientific Research

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      New York, NY, United States

      Publication History

      Published: 30 June 2020

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      Author Tags

      1. ambient intelligence
      2. autonomy
      3. blind people
      4. edge computing
      5. navigation
      6. visual impairment

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      • CSE@UTA
      • NCRS

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      • (2024)Asistované prostredie pre nevidiacich : bývanie, pracovisko a počítač10.24040/2024.9788055721422Online publication date: 30-May-2024
      • (2024)Review of AI Technologies for Enhancing the Lives of Visually Impaired Individuals: Applications, Outcomes, and Future Directions2024 International Conference on Information and Communication Technology for Development for Africa (ICT4DA)10.1109/ICT4DA62874.2024.10777268(241-246)Online publication date: 18-Nov-2024
      • (2024)Principles of User Interface Design Enabling People With Blindness Professional Work in Administration of Energy Systems in Intelligent Buildings Comparable to Sighted WorkersIEEE Access10.1109/ACCESS.2024.342533012(94176-94196)Online publication date: 2024
      • (2024)Intelligent environments and assistive technologies for assisting visually impaired people: a systematic literature reviewUniversal Access in the Information Society10.1007/s10209-024-01117-yOnline publication date: 3-May-2024
      • (2022)Ambient Intelligence System Enabling People With Blindness to Develop Electrotechnical Components and Their DriversIEEE Access10.1109/ACCESS.2022.314410910(8539-8565)Online publication date: 2022

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