An Assist System for Visually Impaired at Indoor Residential Environment using Faster-RCNN

Wei Jen Lin, Mu Chun Su, Wei Yin Cheng, Wen Yu Cheng

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

1 Scopus citations

Abstract

For the visually impaired, 'independent living' is the key to rebuild the dignity and self-confidence. In addition to mobility skill, visually impaired memorize where the furniture is in homes. Therefore, moving the furniture or items (e.g. keys, remote control, etc.) around could be confusing and possibly unsafe. This article describes a system that combines deep learning with a camera for visually impaired to identify objects in the space whether it has been moved, such as furniture, important daily necessities, etc. The smart phone app is used to inform the visually impaired about the current location and movement location of all objects. We hope to re-establish a safe, convenient and comfortable indoor environment for the visually impaired through our system.

Original languageEnglish
Title of host publicationProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1071-1072
Number of pages2
ISBN (Electronic)9781728126272
DOIs
StatePublished - Jul 2019
Event8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019 - Toyama, Japan
Duration: 7 Jul 201911 Jul 2019

Publication series

NameProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019

Conference

Conference8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019
Country/TerritoryJapan
CityToyama
Period7/07/1911/07/19

Keywords

  • Assistive technology
  • Object detection
  • The visually impaired people

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