Optical Motion Detection Language Generator: A Survey

Abstract

This is a comprehensive review of sign language detection and interpretation technologies, addressing the increasing need for effective communication solutions for individuals with speech disorders. The objective is to analyze existing literature, categorizing findings into key areas: sign language detection methodologies leveraging smartphones and advancements in machine and deep learning approaches. Methodologically, a systematic literature review (SLR) spanning from 2012 to July 2023 was conducted, focusing on publications that explore machine and deep learning techniques for sign language detection and interpretation via smartphones. The survey identifies gaps in current research, particularly in the generalizability of findings across different regional languages and the exclusion of less prevalent sign languages. It also highlights the need for enhanced accessibility solutions specific to diverse speech disorders. Future directions proposed include the development of more inclusive and accurate detection systems, potentially integrating advancements in machine learning and smartphone technology. Proactive measures in sign language detection and interpretation are emphasized as crucial for improving accessibility and communication for communities with specific speech needs.