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Title: | Refining the infinity glove with custom user-defined capabilities | Authors: | Omran, Wassim | Advisors: | Moussa, Maria | Keywords: | Hand Gesture Recognition, Text-To-Speech Conversion, Speech-To-Text, Flex Sensors, MPU6050, ESP32S, Machine Learning. | Subjects: | University of Balamand--Dissertations Dissertations, Academic |
Issue Date: | 2024 | Publisher: | [Kalhat, Lebanon] : [University of Balamand], 2024 | Abstract: | Fostering seamless communication between verbal and sign languages is essential for our daily interactions. Technology has significantly enhanced accessibility, particularly by streamlining intercultural communication. Unfortunately, despite these advancements, a notable communication barrier remains between verbal and sign languages, even within the same culture. This gap often results in misunderstandings and frustration. To tackle this issue, introducing an intelligent sign language glove promises to facilitate effective communication for both parties. The project aims to showcase the functionality of The Infinity Glove and illustrates its effectiveness in assisting individuals with hearing/speaking challenges in communicating with others. Focusing on improving accessibility aims to enhance the lives of differently abled communities and foster inclusivity. The Infinity Glove is tailored to recognize American sign language as its primary mode of communication. Equipped with multiple sensors, it can detect hand gestures and finger movements and display the sign language output as a spoken letter, number, word, or sentence on the mobile application |
Description: | Includes bibliographical references (p. 61-63) |
URI: | https://scholarhub.balamand.edu.lb/handle/uob/7581 | Type: | Thesis |
Appears in Collections: | UOB Theses and Projects |
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