Muthu Mariappan H

About

Dr. Muthu Mariappan H is a leading researcher in Human-Computer Interaction (HCI) and computer vision, with a primary focus on dynamic hand gesture recognition and assistive technology. His most influential work, "Indian Sign Language Recognition through Hybrid ConvNet-LSTM Networks" (2021, 13 citations), tackles the critical challenge of translating sign language into text or speech. By integrating Convolutional Neural Networks (ConvNet) with Long Short-Term Memory (LSTM) networks, Dr. Mariappan developed a robust hybrid architecture that captures both spatial features and temporal dynamics of hand gestures, achieving high accuracy in real-time recognition. This contribution is pivotal for bridging communication gaps for the deaf and hard-of-hearing community. Beyond sign language, his research extends to gesture-controlled interfaces for robotics, video surveillance, and smart home systems, demonstrating broad applicability. With a growing citation impact, Dr. Mariappan’s work is widely recognized for its practical potential in inclusive technology. His innovative approach to combining deep learning models has set a benchmark in the field, inspiring further advancements in accessible HCI and computer vision applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Indian Sign Language Recognition through Hybrid ConvNet-LSTM Networks

   13 citations · 2021

Key Collaborators

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