Srinidhi Hegde
Papers
1
Total Citations
5
H-Index
1
About
Srinidhi Hegde is a researcher at the forefront of human-computer interaction, specializing in gesture-based interfaces and mixed reality systems. His most cited work, "A Fingertip Gestural User Interface Without Depth Data for Mixed Reality Applications" (2018), tackles a critical barrier to widespread AR/VR adoption: the high cost of depth-sensing hardware. By developing a method to recognize hand gestures using only standard RGB cameras—eliminating the need for expensive depth sensors—Hegde’s research makes mixed reality more accessible for devices like HoloLens, Meta headsets, and ARCore/ARKit smartphones. This contribution has garnered 5 citations and addresses a key challenge in human-robotic interfaces. His work bridges the gap between cutting-edge interaction design and practical, cost-effective implementation, offering a pathway for more intuitive control in augmented and virtual environments. Hegde’s focus on democratizing gesture recognition positions him as an innovator in making immersive technologies more affordable and widely deployable, with implications for everything from gaming to industrial training and assistive devices.
Research Focus
Key Achievements
Top Papers
- 1