V. Gomathi

Papers

Total Citations

152

H-Index

About

V. Gomathi is a leading researcher in Human-Computer Interaction and Computer Vision, with a primary focus on assistive technology and intelligent systems. Her most significant contribution is the development of a real-time recognition system for Indian Sign Language (ISL), a landmark work published in 2019 that has garnered 132 citations. This system, which identifies and tracks Regions of Interest (ROI) through skin segmentation, enables the translation of hand gestures and facial expressions, bridging critical communication gaps for the deaf and hard-of-hearing community. Building on this, Gomathi advanced the field with a hybrid ConvNet-LSTM network for dynamic gesture recognition, addressing the complexities of temporal hand movements for applications ranging from sign language translation to robotics and video surveillance. Beyond gesture recognition, she has also contributed to safety engineering, designing an adaptive coal mine rescue robot that leverages Wireless Sensor Networks (WSNs) to detect environmental hazards, thereby reducing risks for rescue workers. Her work is characterized by a practical, problem-driven approach, translating complex computer vision and machine learning techniques into real-world solutions that enhance accessibility, safety, and human-machine interaction.