Shreya P. Pannery
Papers
1
Total Citations
1
H-Index
1
About
Shreya P. Pannery is a rising researcher in the field of human-computer interaction and deep learning, with a focused interest in gesture-based control systems. Her most cited work, "Enhancing Hand Gesture Control Using 3DCNN-LSTM Approach" (2025), introduces a novel hybrid architecture that combines three-dimensional convolutional neural networks with long short-term memory networks to improve the accuracy and fluidity of real-time hand gesture recognition. This contribution addresses critical challenges in spatiotemporal feature extraction, offering a more robust solution for applications in virtual reality, assistive technologies, and touchless interfaces. While her citation count is still building—reflecting the recent nature of her publication—the work demonstrates significant potential for impact in both academic and applied settings. Pannery’s research stands out for its practical emphasis on enhancing user experience through efficient, deep learning-driven control mechanisms. As her work gains traction, she is poised to contribute meaningfully to the evolution of intuitive, gesture-based interaction systems, making her a promising voice in the next generation of AI and HCI researchers.
Research Focus
Key Achievements
Top Papers
- 1Enhancing Hand Gesture Control Using 3DCNN-LSTM Approach1 citations · 2025