IASLS a Mobile Application for Facilitating Communications in American Sign Language

10 pages•Published: November 24, 2022

Ian Applebaum, Tarek Elseify, Liam Miller, Likhon Gomes, Viet Pham, Shakeel Alibhai, Aidan Loza and Tamer Aldwairi

Abstract

Intelligent American Sign Language System (IASLS) is a mobile application that allows users to operate their phone or tablet’s camera to capture American Sign Language (ASL) and convert it into text which could later be saved as a note or copied into a text message or document. Text captured from translated finger spelling or full words in ASL can be used to send a message cross-platform to other IASLS users, to take notes in the app, and to help support an in-person conversation between users with ranging abilities. Additionally, users who do not know ASL can use the app’s built-in dictation feature to communicate with people with deafness. IASLS is a mobile application that is designed to facilitate and speed up communication between parties using ASL.

Keyphrases: american sign language, communication, machine learning, mobile application

In: Frederick Harris, Alex Redei and Rui Wu (editors). Proceedings of 31st International Conference on Software Engineering and Data Engineering, vol 88, pages 28-37.

Links:	https://easychair.org/publications/paper/QF38
	https://doi.org/10.29007/55tk

BibTeX entry

@inproceedings{SEDE2022:IASLS_Mobile_Application_Facilitating,
  author    = {Ian Applebaum and Tarek Elseify and Liam Miller and Likhon Gomes and Viet Pham and Shakeel Alibhai and Aidan Loza and Tamer Aldwairi},
  title     = {IASLS a Mobile Application for Facilitating Communications in American Sign Language},
  booktitle = {Proceedings of 31st International Conference on Software Engineering and Data Engineering},
  editor    = {Frederick Harris and Alex Redei and Rui Wu},
  series    = {EPiC Series in Computing},
  volume    = {88},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/QF38},
  doi       = {10.29007/55tk},
  pages     = {28-37},
  year      = {2022}}

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