Vivek Thapa

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Total Citations

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About

Vivek Thapa is a researcher dedicated to advancing accessibility and communication through technology, with a primary focus on sign language recognition and human-computer interaction. His most notable contribution is the pioneering work on "Finger Spelling Recognition for Nepali Sign Language" (2018), which addresses a critical gap in assistive technology for the Nepali deaf community. This study, which has garnered 4 citations, lays the groundwork for automated interpretation of Nepali Sign Language, employing computer vision and machine learning techniques to recognize finger-spelled characters. Thapa’s research not only demonstrates technical innovation in pattern recognition but also holds profound social impact, aiming to bridge communication barriers in educational and public settings. By tackling a low-resource language, his work underscores the importance of inclusive technology development. While his citation count is modest, the foundational nature of his study positions him as a key contributor to sign language processing in South Asia, inspiring future work in regional assistive technologies. His efforts highlight a commitment to leveraging AI for social good, making him a notable figure in the intersection of linguistics, accessibility, and computing.