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
- Tom Kurian, Ektha P S, Chethana Raj T, Diona Joseph, Annu Mary Abraham, Intelligent Disease Prediction in Hydroponic Systems Using Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Betzy Babu Thoppil, Anugrah Premachandran, Annapoorna M, Ashwin Mathew Zachariah, Bala Susan Jacob, Advanced Sensor-Based Landslide and Earthquake Detection and Alert System Utilizing Machine Learning and Computer Vision Technologies , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Elisabeth Thomas, Arjun Saji, Aswin M S, Augustine Salas, Emil Viju, A Comprehensive Review of Advancing Cattle Monitoring and Behavior Classification using Deep Learning , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Amith Bino, Don Peter Joseph, Sreehari P, Anchal J Vattakunnel, Revolutionizing Nutritional Management Through Food Scanning And Object Detection: A New Android Application For Adults , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- K A Arun, Christine Maria Jose , Ann Mathew, Elizabeth Jullu, Lida K Kuriakose, Location-Based Alarm Systems and Service Recommendations for Enhanced Travel Management , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Nikita Niteen , Simy Mary Kurian, Exploring Explainable AI, Security and Beyond : A Comprehensive Review , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
- Dr. Indu John, Gauri Santhosh, Jesna Susan Reji, Abdul Musawir, Glady Prince, Detection of Autism Spectrum Disorder in Toddlers using Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- George P Kurias, Gokul Krishna AU, Jifith Joseph, Sharunmon R, Linsa Mathew, A Review of Methodologies for Detecting Missing and Wanted People Using Machine Learning and Video Surveillance , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Athulya Anilkumar, Abhinav V V, Aneeta Shajan, Anjana S Nair, Bini M Issac, R Neenu, Image Descriptor For Visually Impaired , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Krishnendu B, Sreelakshmi A, Sumayya Maheen, Zameel Hassan, Honey Joseph, Chatbot-Enabled Symptom Assessment: Revolutionizing Disease Diagnosis and Patient Care , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.