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
Published
Issue
Section
License
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.
How to Cite
Similar Articles
- Jeswin Sabu, Kevin Biju Kulangara, Prapanch J, Stephin Mathew, Vimal Babu P, GestureMate: An AI-Driven System for Real-Time Malayalam Sign Language and Speech Translation , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Thejuskrishnan, Amal, Vyshnav M, Narayanan K, Saira Shamsudheen K S, SPEAK: An AI-Based Assistive Video Communication System for Speech and Sign Language Translation , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Mekha Jose, Jocelyn Anthony, Jose V Joseph, Joshwa Thomas, Sharon Baby Thomas, A Review of Machine Learning and Deep Learning Approaches for Offensive Text Detection , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Ansamol Varghese, Anandhu Anoj, Emil Thomas, Deepta K Sunny, Angel Thomas, TrueNews: AI Powered Detection of Manipulated Text and Images , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Alfred Santhosh, Franklin V Jose, K Rohit, Anderson Abraham, Literature Survey on AURA: Augmented Reality Glasses for Enhancing Accessibility of Visually and Hearing Impaired Users , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Leo Jose, Navin Shibu George, Raju, Safa Haroon, Bini M Issac, Wearable Technology for Driver Monitoring and Health Management: A Comprehensive Survey , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Denit D Binny, Diya Mathew, Jaice George, Mehak Riyas, Neenu R, A Comprehensive Survey on EMG-Based Real-Time Gesture Recognition for Prosthetic Hand Applications , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Cymil Sara Eashow, Fathima Ishana K.M, Eva Mary Regi, Ken Jacob Zachariah, Kesiya Rachel John, Juby Mathew, Assistive Technologies for the Visually Impaired: A Comprehensive Survey , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Jesvin Saji, Johan Joseph, Irin Alex, Mathew Jobey, R Neenu, Deep Learning and Machine Learning Approaches for Satellite-Based Environmental Monitoring: A Comprehensive Survey , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- FATHIMA P.S, ANU ROSE JOY, ANSPIN TITUS, ANSU MARIUM SHIBU, ASNA AZEEZ, INDIAN SIGN LANGUAGE RECOGNITION USING YOLOV5 , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.