Kumud Tripathi

Indian Institute of Information Technology Allahabad

Papers

Total Citations

172

H-Index

About

Kumud Tripathi is a leading researcher in the field of human-computer interaction and assistive technology, with a primary focus on Indian Sign Language (ISL) recognition. Her work addresses a critical societal need: bridging the communication gap between the hearing-impaired community and the hearing population. Her most-cited paper, "Continuous Indian Sign Language Gesture Recognition and Sentence Formation" (2015, 112 citations), pioneered a system capable of recognizing continuous, two-handed gestures and translating them into coherent sentences. This foundational work was extended in her subsequent studies, including "Continuous dynamic Indian Sign Language gesture recognition with invariant backgrounds" (46 citations), which enhanced robustness by handling single or dual-hand gestures against complex backgrounds. A particularly innovative contribution is her application of possibility theory to gesture recognition, detailed in her 2015 paper (14 citations), which introduced a novel, uncertainty-tolerant approach to improve accuracy. Collectively, her research has laid the groundwork for real-time, accessible ISL translation systems, making her a key figure in developing inclusive technologies for the hearing-impaired community in India.