
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 2
March-April 2025
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Bridging The Communication Gap: Ai-Powered Dual-Mode Isl Gesture Recognition
Author(s) | Prof. Shruthi B Gowda, Usha K, Ananya C K, Apeksha A Babu, Yuktha Varshini B D |
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Country | India |
Abstract | Indian Sign Language (ISL) communication faces challenges due to the absence of efficient translation systems, limiting accessibility for the hearing and speech impaired. An advanced dual-mode gesture recognition system can bridge this gap. Existing ISL translation systems lack real-time adaptability and struggle with complex gestures, reducing accuracy and usability. study aims to develop an AI-powered dual-mode gesture recognition system that integrates vision-based and sensor-based techniques to enhance ISL translation accuracy and efficiency. A hybrid approach combining deep learning-based image processing for hand gesture recognition and wearable sensors for motion tracking is implemented. Data is collected from diverse ISL signers and processed using neural networks. proposed system demonstrated improved recognition accuracy, faster processing time, and better adaptability to varying lighting conditions and signer variations compared to traditional methods. research contributes to developing a more inclusive and efficient ISL translation system, enhancing communication accessibility. Future advancements can focus on real-time implementation and multilingual sign language support. |
Keywords | Indian Sign Language, Dual-Mode Recognition, Gesture Translation, Deep Learning, Accessibility |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 7, Issue 2, March-April 2025 |
Published On | 2025-03-29 |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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