Papers
1
Total Citations
4
H-Index
1
About
Olga Mur is a researcher in computer vision and human activity recognition, with a focus on understanding fine-grained, hand-centric actions in domestic environments. Her work centers on modelling daily activities by analyzing the spatial and temporal dynamics of hand movements, a crucial step for applications in assistive robotics and smart home systems. In her most cited paper, "Modelling daily actions through hand-based spatio-temporal features" (2015), she proposed a novel approach to domestic action recognition that captures the relationship between hand poses and movements. By representing basic kitchen actions through the "mimics" of hand motion, her method reduces reliance on full-body or object-based information, making it robust and efficient for real-world settings. Though early in her career, with her top paper garnering 4 citations, Mur’s work lays important groundwork for more intuitive human-machine interaction. Her contributions highlight a shift toward recognizing subtle, everyday tasks—like chopping or stirring—by focusing on the hands as primary agents of action, offering a promising path for future research in context-aware computing.
Research Focus
Key Achievements
Top Papers
- 1Modelling daily actions through hand-based spatio-temporal features4 citations · 2015