Papers
7
Total Citations
72
H-Index
5
About
Paulo Trigueiros is a researcher at the intersection of computer vision, human-robot interaction, and applied machine learning. His primary contributions lie in developing vision-based gesture recognition systems, with a particular focus on sign language interpretation and robotic soccer refereeing. His work on hand segmentation and gesture recognition for human-computer interaction, notably using Microsoft Kinect for real-time applications, has been foundational. His most cited paper, "Hand Gesture Recognition System Based in Computer Vision and Machine Learning" (2015, 20 citations), exemplifies his core research. Trigueiros has also made notable contributions to the RoboCup MSL League, designing a vision-based referee sign language recognition system (2014, 15 citations). Demonstrating the versatility of his computer vision expertise, he has applied similar techniques to ecological monitoring, co-authoring a study on automated detection of roadkilled amphibians (2019, 9 citations). His work consistently emphasizes creating natural, intuitive interfaces for human-robot interaction, bridging the gap between complex machine vision algorithms and practical, real-world applications.
Research Focus
Key Achievements
Top Papers
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- 4Where to look when identifying roadkilled amphibians?9 citations · 2019
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- 7Robot Orientation with Histograms on MSL3 citations · 2012