Adona Shibu
Abstract
This paper introduces an innovative method to improve communication for individuals who are deaf and mute by leveraging hardware technology. Through the integration of sensors and machine learning algorithms, our portable device can interpret sign language gestures in real- time, transforming them into spoken language or text. The system's intuitive design and portability make it an ideal solution for empowering individuals with hearing and speech impairments to participate more fully in social, educational, and professional settings, promoting inclusivity and accessibility.
Keywords:
Sign language recognition, Hardware-based communication systems, Accessibility, Inclusivity, Wearable technology, Machine learning algorithms, Social integration, Assistive technology
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Copyright (c) 2024 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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