Design of a Wearable Assistive System for Visually Impaired People

Yigay He-Astudillo, Marcelo Reyes-Rogget, Felipe A. López, Ignacio N. López-Martínez, Rodrigo Linfati, Daniel Morillo, Gustavo Gatica

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

Abstract

At least 2.2 billion people are visually impaired, with the main problem being a lack of autonomy and safety when moving around the city. To solve those needs, a wearable assistive system for vision impairment people, with low cost and open-source applications, integrating machine learning and deep learning was developed. We used a mixed methodology, including semi-structured interviews with visually impaired people and specialists in visually impaired needs, including them both in the design process. This allowed us to have an understatement of the specific needs and to generate improvements in the design. The results are auspicious for the feasibility of this type of development, the main considerations and lessons learned are noted, leaving some opportunities for future research.

Original languageEnglish
Title of host publicationComputer Information Systems and Industrial Management - 21st International Conference, CISIM 2022, Proceedings
EditorsKhalid Saeed, Jiří Dvorský
PublisherSpringer Science and Business Media Deutschland GmbH
Pages123-135
Number of pages13
ISBN (Print)9783031105388
DOIs
Publication statusPublished - 2022
Event21st International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2022 - Barranquilla, Colombia
Duration: 15 Jul 202217 Jul 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13293 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2022
Country/TerritoryColombia
CityBarranquilla
Period15/07/2217/07/22

Keywords

  • Face recognition
  • Identifying objects
  • Machine learning
  • Obstacle detection
  • Ultrasonic sensor
  • Visual impairment

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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