Haridas T.P. Mithun

Cochin University of Science and Technology

Papers

Total Citations

H-Index

About

Haridas T.P. Mithun is a researcher advancing the frontiers of human-computer interaction (HCI), with a primary focus on sign language recognition and deep learning. His most cited work, "Sign Language Recognition System Using Deep Neural Network" (2019, 30 citations), addresses a critical barrier in HCI: the limitations of conventional input devices that hinder natural, intuitive communication. By leveraging deep neural networks, Mithun’s system enables computers to interpret sign language gestures, bridging the gap between hearing and speech-impaired users and technology. This contribution not only enhances accessibility but also underscores the potential of AI-driven interfaces to foster inclusive digital environments. Beyond this flagship paper, Mithun’s research portfolio explores the intersection of computer vision and neural architectures, aiming to make HCI more seamless and responsive. His work has garnered attention for its practical implications in assistive technology, earning citations from scholars in both engineering and rehabilitation sciences. For students and researchers, Mithun exemplifies how targeted deep learning applications can solve real-world communication challenges, paving the way for more empathetic and adaptive human-machine partnerships.