Pratyusha Das
Papers
1
Total Citations
2
H-Index
1
About
Dr. Pratyusha Das is a researcher whose work lies at the intersection of human-robot interaction, computer vision, and fuzzy logic systems. Her most-cited paper, "Type 2 fuzzy induced person identification using Kinect sensor" (2015), introduces a novel approach to automatic person recognition by leveraging gait patterns—a unique biometric characteristic—captured through a Kinect sensor. This work addresses the critical challenge of enabling robots to autonomously identify individuals they have previously encountered, advancing the field of seamless human-robot interaction. By employing Type 2 fuzzy logic to handle uncertainty in gait data, Dr. Das's contribution demonstrates a sophisticated method for robust person identification. While her citation count is modest, the foundational nature of this research highlights its potential for future applications in assistive robotics and security systems. Dr. Das's work represents an important step toward more intuitive and adaptive robotic systems capable of recognizing and responding to human users in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Type 2 fuzzy induced person identification using Kinect sensor2 citations · 2015