@InProceedings{GerardCanal2015,
author="Gerard Canal
and Cecilio Angulo
and Sergio Escalera",
title="Gesture based Human Multi-Robot interaction",
booktitle="IEEE International Joint Conference on Neural Networks IJCNN2015",
year="2015",
abstract="The emergence of robot applications for nontechnical users implies designing new ways of interaction between robotic platforms and users. The main goal of this work is the development of a gestural interface to interact with robotsin a similar way as humans do, allowing the user to provide information of the task with non-verbal communication. The gesture recognition application has been implemented using the Microsoft{\textquoteright}s KinectTM v2 sensor. Hence, a real-time algorithm based on skeletal features is described to deal with both, staticgestures and dynamic ones, being the latter recognized using a weighted Dynamic Time Warping method. The gesture recognition application has been implemented in a multi-robot case.A NAO humanoid robot is in charge of interacting with the users and respond to the visual signals they produce. Moreover, a wheeled Wifibot robot carries both the sensor and the NAO robot, easing navigation when necessary. A broad set of user tests have been carried out demonstrating that the system is, indeed, anatural approach to human robot interaction, with a fast response and easy to use, showing high gesture recognition rates.",
optnote="HuPBA;MILAB",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2651), last updated on Wed, 16 Jan 2019 09:33:37 +0100",
doi="10.1109/IJCNN.2015.7280540",
opturl="http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7256526",
file=":http://refbase.cvc.uab.es/files/CAE2015b.pdf:PDF"
}