Victor Uc-Cetina

Work place: Universidad Autónoma de Yucatán/Computational Learning and Imaging Research, Merida, 97205, Mexico



Research Interests: Computational Learning Theory


Victor Uc-Cetina received his Ph.D. degree in Computer Science from the Humboldt-Universitaet zu Berlin, Germany, in 2009, a MSc degree in Intelligent Systems from the Instituto Tecnológico y de Estudios Superiores de Monterrey, Mexico, in 2005, and a BSc degree in Software Engineering from the Instituto Tecnológico de Mérida, Mexico, in 2002. He is currently Professor of Computer Science and a member of the Computational Learning and Imaging Research group at the Universidad Autónoma de Yucatán. His main research interest focuses on the design and application of machine learning algorithms for developing computational systems that exhibit artificial intelligence behavior.

Author Articles
Body Gestures Recognition System to Control a Service Robot

By Jose L. Medina-Catzin Anabel Martin-Gonzalez Carlos Brito-Loeza Victor Uc-Cetina

DOI:, Pub. Date: 8 Sep. 2017

Personal service robots will be in the short future part of our world by assisting humans in their daily chores. A highly efficient way of communication with people is through basic gestures. In this work, we present an efficient body gestures’ interface that gives the user practical communication to control a personal service robot. The robot can interpret two body gestures of the subject and performs actions related to those gestures. The service robot’s setup consists of a Pioneer P3-DX research robot, a Kinect sensor and a portable workstation. The gesture recognition system developed is based on tracking the skeleton of the user to get the body parts relative 3D positions. In addition, the system takes depth images from the sensor and extracts their Haar features, which will train the Adaboost algorithm to classify the gesture. The system was developed using the ROS framework, showing good performance during experimental evaluation with users. Our body gesture-based interface may serve as a baseline to develop practical and natural interfaces to communicate with service robots in the near future.

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