American Sign Language Recognition Application

Through the applications of artificial intelligence (AI), the American Sign Language Recognition System (ASLRS)helps the hard of hearing by translating ASL gestures into voice or text. Due of the complexity of ASL's numerous hand shapes, motions, and expressions, the research employs deep learning techniques such as CNNs for gesture detection and Generative AI for contextual comprehension.The web-based program supports real-time operation, allowing users to enter gestures using a webcam or translate images or videos into text or voice. By using AI, computer vision, and human-computer interaction, the initiative seeks to increase communication inclusivity.

Authors

Publication Details

Published
2025-03-05
DOI
https://doi.org/10.1109/esci63694.2025.10988218
Citations
4
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
7.74
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article

American Sign Language Recognition Application

A. Kamble, Avishkar S. Karche, Krupa A. Maru, Sumedh S. Kedari et al.
4 citations
Hand Gesture Recognition Systems
7.74
article

American Sign Language Recognition Application

A. Kamble, Avishkar S. Karche, Krupa A. Maru, Sumedh S. Kedari, Dikshendra Daulat Sarpate
article en
4 citations

Abstract

Through the applications of artificial intelligence (AI), the American Sign Language Recognition System (ASLRS)helps the hard of hearing by translating ASL gestures into voice or text. Due of the complexity of ASL's numerous hand shapes, motions, and expressions, the research employs deep learning techniques such as CNNs for gesture detection and Generative AI for contextual comprehension.The web-based program supports real-time operation, allowing users to enter gestures using a webcam or translate images or videos into text or voice. By using AI, computer vision, and human-computer interaction, the initiative seeks to increase communication inclusivity.

Openalex Percentile: Top 3%
Hand Gesture Recognition Systems
7.74
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