Papers
1
Total Citations
9
H-Index
1
About
Samit Biswas is a leading researcher in computer vision and human-computer interaction, with a primary focus on sign language recognition and gesture analysis. His most impactful work, "Recognition of Wh-Question Sign Gestures in Video Streams using an Attention Driven C3D-BiLSTM Network" (2024, 9 citations), introduces a novel deep learning framework that combines 3D convolutional neural networks with bidirectional LSTM and attention mechanisms to accurately interpret interrogative sign gestures in real-time video. This contribution addresses a critical gap in assistive technology, enabling more natural communication between hearing-impaired individuals and those unfamiliar with sign language. Biswas’s research bridges the gap between complex spatiotemporal video data and practical, accessible recognition systems, demonstrating significant potential for real-world deployment in inclusive communication tools. His work has garnered attention for its innovative approach to handling the nuanced, dynamic nature of sign language, and he continues to advance the field through cutting-edge architectures that prioritize both accuracy and computational efficiency. Biswas’s contributions are shaping the future of gesture-based interfaces and assistive technologies.
Research Focus
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Top Papers
- 1