American Sign Language to Text Translation

American Sign Language to Text Translation

    Ankita Pingale, Tanmay.S .Phuse, Mangesh. G.Markad, Rohan.V. Madane,

  Department of  Tnformation Technology

ABMSP’s Anantrao pawar college of engineering and research

Pune,Maharashtra.

Abstract—

 American Sign Language (ASL) recognition represents a transformative advancement in technology, automating the interpretation of human expressions into comprehensible language constructs. This automation simplifies what has traditionally been a complex and laborintensive process, allowing for efficient and streamlined development of models tailored to specific linguistic and recognition tasks. ASL recognition systems leverage cuttingedge technologies to analyze and interpret gestures, expressions, and movements in real-time, revolutionizing the field of humancomputer interaction and accessibility solutions. The integration of ASL recognition into modern technological frameworks has proven particularly effective in domains such as expression analysis, gesture-based communication, and language processing applications. By automating the recognition of ASL, the systems can enhance expressively tasks like expression detection, gesture typing in American English, and natural language translation. The architectures produced are not only excellent in terms of recognition performance and accuracy but also save computational overhead, making them extremely efficient and suitable for realworld applications.

Keywords— American Sign Language (ASL), Sign Language Recognition (SLR), Image Processing, Computer Vision, Convolutional Neural Networks (CNN), Gesture Recognition, Deep Learning, Real-Time Recognition, Hand Gesture Detection, Human-Computer Interaction (HCI).