Assistive mobile application for the blind

Ismail Sahak, Ong Huey Fang, Syuhada Abdul Rahman

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

Abstract

One of the challenges faced by blind people is the difficulty in identifying objects with concise information. They could only rely on the senses of hearing, smell, taste or touch to engage and get some perspectives of objects. Hence, this paper presents a mobile application called Iris to aid blind people in "visualising" their surroundings with descriptive objects. Iris combines the multiple object detection and optical character recognition capabilities of Microsoft Computer Vision API to turns smartphones into assistive devices for the blind to use in their daily activities.

Original languageEnglish
Title of host publicationProceedings of the First Workshop on Artificial Intelligence for Function, Disability, and Health co-located with the 2020 International Joint Conference on Artificial Intelligence - Pacific Rim Conference on Artificial Intelligence (IJCAI-PRICAI 2020)
EditorsDenis Newman-Griffis, Serguei V. Pakhomov, Suzanne Tamang, Ayah Zirikly, Bart Desmet, Hongfang Liu, Junichi Tsujii
Place of PublicationAachen Germany
Publisherceur-ws.org
Pages21-25
Number of pages5
Volume2760
Publication statusPublished - 2020
EventWorkshop on Artificial Intelligence for Function, Disability, and Health 2020 - Online, Kyoto, Japan
Duration: 7 Jan 20218 Jan 2021
Conference number: 1st
http://ceur-ws.org/Vol-2760/ (Proceedings)

Publication series

NameCEUR Workshop Proceedings
ISSN (Print)1613-0073

Conference

ConferenceWorkshop on Artificial Intelligence for Function, Disability, and Health 2020
Abbreviated titleAI4Function 2020
Country/TerritoryJapan
CityKyoto
Period7/01/218/01/21
OtherWorkshop year is 2020 despite being held in 2021
Internet address

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