Ramakrishna Perla
Papers
1
Total Citations
5
H-Index
1
About
Ramakrishna Perla is a researcher at the forefront of human-computer interaction, specializing in gesture-based user interfaces for mixed reality applications. His most-cited work, "A Fingertip Gestural User Interface Without Depth Data for Mixed Reality Applications" (2018), tackles a critical challenge in the field: making gesture recognition accessible without expensive depth sensors. By developing a method that relies solely on standard RGB cameras, Perla's research reduces the hardware cost of head-mounted devices like HoloLens and ARCore-enabled smartphones, broadening the potential for widespread mixed reality adoption. This contribution has garnered 5 citations, reflecting its niche but growing influence among scholars seeking cost-effective interaction solutions. Perla's work directly addresses the barrier of high-cost processors and sensors, offering a practical path toward more affordable, gesture-driven interfaces. His focus on fingertip gestures—a natural and intuitive input method—positions him as a key contributor to making mixed reality more accessible for everyday users and robotic interfaces alike.
Research Focus
Key Achievements
Top Papers
- 1