This paper presents a stand-alone application for text interpretation to Ecuadorian Sign Language (LSEC), modeled by a nondeterministic finite automaton (NFA), lexical analysis and regular expressions. This application will allow you to interpret a text entered by a user and present it through GIF graphic resources, thus allowing you to establish unidirectional communication between a hearing person and a person with hearing impairment. Our application is developed under MVC architecture. The state machine and lexical analyzer are in the model layer, which will be handled by the controller layer and that will allow the user to receive the inputs and send the outputs through the view layer. We evaluate the effectiveness of the tool using an LSEC dictionary with a total of 275 words and idioms, for different users with hearing impairment, and the results showed that our application is robust and fast.
|Title of host publication||Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing|
|Number of pages||8|
|State||Published - 2021|
|Event||AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 - San Diego, United States|
Duration: 16 Jul 2020 → 20 Jul 2020
|Name||Advances in Intelligent Systems and Computing|
|Conference||AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020|
|Period||16/07/20 → 20/07/20|
Bibliographical noteFunding Information:
This work was supported by IDEIAGEOCA Research Group of Universidad Polit?cnica Salesiana in Quito, Ecuador.
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
Copyright 2020 Elsevier B.V., All rights reserved.
- Automata theory
- Hearing disability
- Lexical analysis
- Regular expressions