TY  - CONF
AU  - Gerard Canal
AU  - Cecilio Angulo
AU  - Sergio Escalera
A2  - IJCNN
PY  - 2015//
TI  - Gesture based Human Multi-Robot interaction
BT  - IEEE International Joint Conference on Neural Networks IJCNN2015
N2  - 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’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.
UR  - http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7256526
L1  - http://refbase.cvc.uab.es/files/CAE2015b.pdf
UR  - http://dx.doi.org/10.1109/IJCNN.2015.7280540
N1  - HuPBA;MILAB
ID  - Gerard Canal2015
ER  -