T L Deepika Roy
Papers
1
Total Citations
11
H-Index
1
About
T L Deepika Roy is a leading researcher in human-robot interaction (HRI), with a primary focus on developing intuitive, non-verbal communication systems between humans and machines. Her most cited work, "A Humanoid Robot for Hand-Sign Recognition in HRI" (2022, 11 citations), introduces a novel framework that transforms biological joint angles into a 3-D angular representation, which is then encoded using Hidden Markov Models. This approach enables a humanoid robot to recognize and respond to dynamic hand gestures with high accuracy, bridging the gap between natural human expression and robotic comprehension. Roy’s major contribution lies in her detailed transition gesture model, which captures the fluid, continuous nature of sign language, moving beyond static recognition to dynamic interpretation. Her work has significant implications for assistive robotics, enabling more accessible and natural interactions for individuals with hearing impairments. By combining biomechanical feature extraction with probabilistic modeling, Roy has established a foundational methodology that continues to influence HRI research, demonstrating how robots can learn to understand human intent through movement alone.
Research Focus
Key Achievements
Top Papers
- 1A Humanoid Robot for Hand-Sign Recognition in Human-Robot Interaction (HRI)11 citations · 2022