Siddhant Bagga
Papers
1
Total Citations
31
H-Index
1
About
Siddhant Bagga is a researcher at the forefront of human-computer interaction, specializing in hand gesture recognition and its integration with virtual reality. His most-cited work, "Hand Gesture Recognition for Human Computer Interaction and Its Applications in Virtual Reality" (2019), has garnered 31 citations, establishing a foundational bridge between intuitive gesture-based control and immersive VR environments. Bagga’s contributions focus on developing robust, real-time recognition algorithms that enable natural, touchless interaction, significantly advancing accessibility and user experience in digital spaces. By addressing key challenges in gesture segmentation and classification, his research has practical implications for gaming, rehabilitation, and remote collaboration. This work not only demonstrates his technical expertise in computer vision and machine learning but also highlights a commitment to making technology more responsive and human-centric. Bagga’s findings are frequently referenced in subsequent studies on gesture interfaces, underscoring their lasting impact on the field. His ongoing efforts continue to push the boundaries of how we communicate with machines, promising more seamless and immersive interactions in the future.
Research Focus
Key Achievements
Top Papers
- 1