dc.contributorJOSE L. MEDINA CATZIN
dc.creatorANABEL MARTIN GONZALEZ
dc.creatorCARLOS FRANCISCO BRITO LOEZA
dc.creatorVICTOR EMANUEL DE ATOCHA UC CETINA
dc.date2017-09-08
dc.date.accessioned2023-07-25T13:49:50Z
dc.date.available2023-07-25T13:49:50Z
dc.identifierhttp://redi.uady.mx:8080/handle/123456789/768
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7794391
dc.descriptionPersonal service robots will be in the short future part ofour world by assisting humans in their daily chores. A highly efficient way of communication withpeople 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 ofthe 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 theirHaar 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-basedinterface may serve as a baseline to develop practical and natural interfaces to communicate with service robots in the near future.
dc.formatapplication/pdf
dc.languageeng
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceurn:issn:2074-9007
dc.subjectinfo:eu-repo/classification/cti/7
dc.subjectIntelligent control
dc.subjectService robots
dc.subjectGesture recognition
dc.subjectAdaboost
dc.subjectHaar features
dc.titleBody gestures recognition system to control a service robot
dc.typeinfo:eu-repo/semantics/article
dc.coverageInvestigación aplicada
dc.audienceresearchers


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