Kandala Kalyana Srinivas

Vellore Institute of Technology University

Papers

1

Total Citations

9

H-Index

1

About

Dr. Kandala Kalyana Srinivas is a researcher specializing in human-computer interaction, with a particular focus on hand gesture recognition and classification systems. His work addresses the critical challenge of enabling machines to interpret both static and dynamic hand movements for more intuitive communication interfaces. In his most cited study, "STUDY OF HAND GESTURE RECOGNITION AND CLASSIFICATION" (2017, 9 citations), Dr. Srinivas developed methodologies for capturing and classifying gestures using devices such as the Kinect sensor and hand movement sensors, including connecting electrodes. This research contributes to the broader field of assistive technology and natural user interfaces, offering potential applications in sign language interpretation, virtual reality, and touchless control systems. While his citation count reflects an emerging career, his foundational work on gesture-based interaction demonstrates his commitment to bridging the gap between human expression and digital systems. Dr. Srinivas's research continues to inspire further exploration into more accurate and efficient gesture recognition techniques.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
STUDY OF HAND GESTURE RECOGNITION AND CLASSIFICATION
9 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Vellore Institute of Technology University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago