Fiza Murtaza
Papers
2
Total Citations
4
H-Index
1
About
Fiza Murtaza is a rising researcher at the intersection of computer vision, human-computer interaction, and extended reality (XR) systems. Her work centers on understanding how humans interact with objects in their environments, with a particular focus on enhancing recognition capabilities for security, surveillance, and immersive technologies. In her 2024 study on egocentric wearable cameras, she advanced the field of human–object interaction (HOI) recognition by demonstrating how first-person visual data can more accurately capture the nuances of user behavior. Building on this, her most-cited paper, "Using 3D Hand Pose Data in Recognizing Human–Object Interaction and User Identification for Extended Reality Systems," proposes a novel framework that leverages three-dimensional hand pose information to simultaneously identify both the action being performed and the user performing it. This dual-purpose approach has significant implications for cybersecurity and personalized XR experiences, offering a path toward more secure and intuitive virtual environments. Though early in her career, Murtaza’s work has already garnered attention for its innovative fusion of gesture recognition and user authentication, establishing her as a promising voice in next-generation human-centered computing.
Research Focus
Key Achievements
Top Papers
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