A real-time Artificial Intelligence system for learning Sign Language
Elisa Cabana

TL;DR
This paper presents a real-time AI system aimed at helping deaf and hearing-impaired individuals learn and use Sign Language, focusing on inclusivity and resource efficiency.
Contribution
It introduces a cost-effective, open AI-based platform for Sign Language learning, specifically targeting American Sign Language, with promising preliminary results.
Findings
Developed a real-time Sign Language learning system
Achieved promising initial results in ASL recognition
Contributes to inclusive communication technology
Abstract
A primary challenge for the deaf and hearing-impaired community stems from the communication gap with the hearing society, which can greatly impact their daily lives and result in social exclusion. To foster inclusivity in society, our endeavor focuses on developing a cost-effective, resource-efficient, and open technology based on Artificial Intelligence, designed to assist people in learning and using Sign Language for communication. The analysis presented in this research paper intends to enrich the recent academic scientific literature on Sign Language solutions based on Artificial Intelligence, with a particular focus on American Sign Language (ASL). This research has yielded promising preliminary results and serves as a basis for further development.
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Taxonomy
TopicsHearing Impairment and Communication · Hand Gesture Recognition Systems
Methods7 Fastest Ways to Call American Airlines Reservations Number (USA Guide) · Focus
