naa a22 4500 510739881 CHVBK 20180411083024.0 cr unu---uuuuu 180411e20130301xx s 000 0 eng 10.1007/s12193-012-0111-y doi (NATIONALLICENCE)springer-10.1007/s12193-012-0111-y RAVEL: an annotated corpus for training robots with audiovisual abilities [Elektronische Daten] [Xavier Alameda-Pineda, Jordi Sanchez-Riera, Johannes Wienke, Vojtěch Franc, Jan Čech, Kaustubh Kulkarni, Antoine Deleforge, Radu Horaud] We introduce Ravel (Robots with Audiovisual Abilities), a publicly available data set which covers examples of Human Robot Interaction (HRI) scenarios. These scenarios are recorded using the audio-visual robot head POPEYE, equipped with two cameras and four microphones, two of which being plugged into the ears of a dummy head. All the recordings were performed in a standard room with no special equipment, thus providing a challenging indoor scenario. This data set provides a basis to test and benchmark methods and algorithms for audio-visual scene analysis with the ultimate goal of enabling robots to interact with people in the most natural way. The data acquisition setup, sensor calibration, data annotation and data content are fully detailed. Moreover, three examples of using the recorded data are provided, illustrating its appropriateness for carrying out a large variety of HRI experiments. The Ravel data are publicly available at: http://ravel.humavips.eu/ . OpenInterface Association, 2012 Audio-visual data set nationallicence Binocular vision nationallicence Binaural hearing nationallicence Action/gesture recognition nationallicence Human robot interaction nationallicence Audio-visual robotics nationallicence Alameda-Pineda Xavier INRIA Grenoble Rhône-Alpes, 655, Avenue de l'Europe, 38330, Montobonnot, France aut Sanchez-Riera Jordi INRIA Grenoble Rhône-Alpes, 655, Avenue de l'Europe, 38330, Montobonnot, France aut Wienke Johannes Universität Bielefeld, Universitätsstraße 25, 33615, Bielefeld, Germany aut Franc Vojtěch Czech Technical University, Technická 2, 166 27, Prague, Czech Republic aut Čech Jan INRIA Grenoble Rhône-Alpes, 655, Avenue de l'Europe, 38330, Montobonnot, France aut Kulkarni Kaustubh INRIA Grenoble Rhône-Alpes, 655, Avenue de l'Europe, 38330, Montobonnot, France aut Deleforge Antoine INRIA Grenoble Rhône-Alpes, 655, Avenue de l'Europe, 38330, Montobonnot, France aut Horaud Radu INRIA Grenoble Rhône-Alpes, 655, Avenue de l'Europe, 38330, Montobonnot, France aut Journal on Multimodal User Interfaces Springer-Verlag 7/1-2(2013-03-01), 79-91 1783-7677 7:1-2<79 2013 7 12193 https://doi.org/10.1007/s12193-012-0111-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12193-012-0111-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Alameda-Pineda Xavier INRIA Grenoble Rhône-Alpes, 655, Avenue de l'Europe, 38330, Montobonnot, France aut NATIONALLICENCE 700 1- Sanchez-Riera Jordi INRIA Grenoble Rhône-Alpes, 655, Avenue de l'Europe, 38330, Montobonnot, France aut NATIONALLICENCE 700 1- Wienke Johannes Universität Bielefeld, Universitätsstraße 25, 33615, Bielefeld, Germany aut NATIONALLICENCE 700 1- Franc Vojtěch Czech Technical University, Technická 2, 166 27, Prague, Czech Republic aut NATIONALLICENCE 700 1- Čech Jan INRIA Grenoble Rhône-Alpes, 655, Avenue de l'Europe, 38330, Montobonnot, France aut NATIONALLICENCE 700 1- Kulkarni Kaustubh INRIA Grenoble Rhône-Alpes, 655, Avenue de l'Europe, 38330, Montobonnot, France aut NATIONALLICENCE 700 1- Deleforge Antoine INRIA Grenoble Rhône-Alpes, 655, Avenue de l'Europe, 38330, Montobonnot, France aut NATIONALLICENCE 700 1- Horaud Radu INRIA Grenoble Rhône-Alpes, 655, Avenue de l'Europe, 38330, Montobonnot, France aut NATIONALLICENCE 773 0- Journal on Multimodal User Interfaces Springer-Verlag 7/1-2(2013-03-01), 79-91 1783-7677 7:1-2<79 2013 7 12193 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer