Cristina Mata
Papers
1
Total Citations
7
H-Index
1
About
Cristina Mata is a researcher whose work centers on computer vision and human-computer interaction, with a particular focus on hand pose estimation and gesture recognition. Her most-cited paper, "Partially Occluded Hands" (2019), addresses a critical challenge in the field: accurately interpreting hand gestures when parts of the hand are hidden from view. This contribution is vital for applications in virtual reality, sign language translation, and robotics, where robust hand tracking is essential. With 7 citations, this work has laid groundwork for improving the reliability of vision-based systems in real-world, cluttered environments. Mata’s research bridges the gap between algorithmic precision and practical usability, offering insights that enhance how machines perceive human intent. Her achievements underscore a commitment to solving complex visual problems, making her a notable voice in advancing interactive technologies.
Research Focus
Key Achievements
Top Papers
- 1Partially Occluded Hands:7 citations · 2019