naa a22 4500 510739741 CHVBK 20180411083024.0 cr unu---uuuuu 180411e20131101xx s 000 0 eng 10.1007/s12193-013-0121-4 doi (NATIONALLICENCE)springer-10.1007/s12193-013-0121-4 A dataset for point of gaze detection using head poses and eye images [Elektronische Daten] [Christopher McMurrough, Vangelis Metsis, Dimitrios Kosmopoulos, Ilias Maglogiannis, Fillia Makedon] This paper presents a new, publicly available dataset, aimed to be used as a benchmark for Point of Gaze (PoG) detection algorithms. The dataset consists of two modalities that can be combined for PoG definition: (a) a set of videos recording the eye motion of human participants as they were looking at, or following, a set of predefined points of interest on a computer visual display unit (b) a sequence of 3D head poses synchronized with the video. The eye motion was recorded using a Mobile Eye-XG, head mounted, infrared monocular camera and the head position by using a set of Vicon motion capture cameras. The ground truth of the point of gaze and head location and direction in the three-dimensional space are provided together with the data. The ground truth regarding the point of gaze is known in advance since the participants are always looking at predefined targets on a monitor. OpenInterface Association, 2013 Gaze tracking nationallicence Head tracking nationallicence Point of gaze nationallicence Dataset nationallicence McMurrough Christopher The University of Texas at Arlington, Arlington, USA aut Metsis Vangelis The University of Texas at Arlington, Arlington, USA aut Kosmopoulos Dimitrios Rutgers, The State University of New Jersey, TEI Crete, Piscataway, USA aut Maglogiannis Ilias University of Piraeus, Piraeus, Greece aut Makedon Fillia The University of Texas at Arlington, Arlington, USA aut Journal on Multimodal User Interfaces Springer Berlin Heidelberg 7/3(2013-11-01), 207-215 1783-7677 7:3<207 2013 7 12193 https://doi.org/10.1007/s12193-013-0121-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12193-013-0121-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- McMurrough Christopher The University of Texas at Arlington, Arlington, USA aut NATIONALLICENCE 700 1- Metsis Vangelis The University of Texas at Arlington, Arlington, USA aut NATIONALLICENCE 700 1- Kosmopoulos Dimitrios Rutgers, The State University of New Jersey, TEI Crete, Piscataway, USA aut NATIONALLICENCE 700 1- Maglogiannis Ilias University of Piraeus, Piraeus, Greece aut NATIONALLICENCE 700 1- Makedon Fillia The University of Texas at Arlington, Arlington, USA aut NATIONALLICENCE 773 0- Journal on Multimodal User Interfaces Springer Berlin Heidelberg 7/3(2013-11-01), 207-215 1783-7677 7:3<207 2013 7 12193 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer