Kevin Hapeshi
Papers
2
Total Citations
12
H-Index
2
About
Kevin Hapeshi’s research lies at the intersection of computer vision, robotics, and human-robot interaction, with a focused emphasis on enabling machines to perceive and replicate human emotion. His work is foundational to the development of emotional bio-robots—machines designed to communicate naturally with people through facial expressions. Hapeshi’s most cited paper, “A new method for face detection in colour images for emotional bio-robots” (2010, 9 citations), introduced a novel approach for robustly detecting faces in varied lighting conditions, a critical first step for any emotion-aware system. Building on this, his 2013 work, “A New Parameterised Feature-Based Generic 3D Human Face Model for Emotional Bio-Robots” (3 citations), tackled the challenge of representing the full spectrum of human expressions. By creating a parameterised 3D model that maps muscle movements to emotional states, Hapeshi provided a blueprint for robots that can both display and interpret subtle social cues. While his citation counts reflect a niche but dedicated audience, his contributions are notable for their forward-looking integration of biometrics and affective computing, directly addressing a core challenge in social robotics: making machines that are not just intelligent, but emotionally legible.
Research Focus
Key Achievements
Top Papers
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- 2