DocumentCode :
652821
Title :
The Emotracker: Visualizing Contents, Gaze and Emotions at a Glance
Author :
Hupont, Isabelle ; Baldassarri, Sandra ; Cerezo, Eva ; del-Hoyo, R.
Author_Institution :
Multimedia Technol. Div., Aragon Inst. of Technol., Zaragoza, Spain
fYear :
2013
fDate :
2-5 Sept. 2013
Firstpage :
751
Lastpage :
756
Abstract :
In the last years, Affective Computing investigations have focused the efforts in the automatic extraction of human emotions and in increasing the success rates in the emotion recognition task. However, there is a lack of automatic tools that intuitively visualize the users´ emotional information. In this work, we propose Emotracker, a novel tool based on the combination of eye tracking and facial emotional recognition technologies that allows the visualization of contents, user emotions and gaze at a glance, and offers a wide range of visualization options, including emotional saccade maps and emotional heat maps. The simultaneous consideration of gaze and emotion opens the door to the evaluation of user engagement, which is of great importance for content creators, but has also other promising fields of application in psychology research and, more specifically, in autism.
Keywords :
data visualisation; emotion recognition; face recognition; feature extraction; gaze tracking; Emotracker tool; affective computing; automatic extraction; content creators; content visualization; emotion recognition task; emotional heat maps; emotional saccade maps; eye tracking; facial emotional recognition technology; gaze visualization; human emotions; user emotion visualization; user emotional information visualization; user engagement; Accuracy; Data visualization; Emotion recognition; Heating; Motion pictures; Software; Visualization; affective computing; emotions visualization; eye tracking; facial expressions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on
Conference_Location :
Geneva
ISSN :
2156-8103
Type :
conf
DOI :
10.1109/ACII.2013.139
Filename :
6681531
Link To Document :
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