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A skeleton-based approach to analyzing oculomotor behavior when viewing animated characters

Knowing what people look at and understanding how they analyze the dynamic gestures of their peers is an exciting challenge. In this context, we propose a new approach to quantifying and visualizing the oculomotor behavior of viewers watching the movements of animated characters in dynamic sequences...

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Detalles Bibliográficos
Autores principales: Le Naour, Thibaut, Bresciani, Jean-Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bern Open Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140781/
https://www.ncbi.nlm.nih.gov/pubmed/33828668
http://dx.doi.org/10.16910/jemr.10.5.7
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author Le Naour, Thibaut
Bresciani, Jean-Pierre
author_facet Le Naour, Thibaut
Bresciani, Jean-Pierre
author_sort Le Naour, Thibaut
collection PubMed
description Knowing what people look at and understanding how they analyze the dynamic gestures of their peers is an exciting challenge. In this context, we propose a new approach to quantifying and visualizing the oculomotor behavior of viewers watching the movements of animated characters in dynamic sequences. Using this approach, we were able to illustrate, on a 'heat mesh', the gaze distribution of one or several viewers, i.e., the time spent on each part of the body, and to visualize viewers' timelines, which are linked to the heat mesh. Our approach notably provides an 'intuitive' overview combining the spatial and temporal characteristics of the gaze pattern, thereby constituting an efficient tool for quickly comparing the oculomotor behaviors of different viewers. The functionalities of our system are illustrated through two use case experiments with 2D and 3D animated media sources, respectively.
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spelling pubmed-71407812021-04-06 A skeleton-based approach to analyzing oculomotor behavior when viewing animated characters Le Naour, Thibaut Bresciani, Jean-Pierre J Eye Mov Res Research Article Knowing what people look at and understanding how they analyze the dynamic gestures of their peers is an exciting challenge. In this context, we propose a new approach to quantifying and visualizing the oculomotor behavior of viewers watching the movements of animated characters in dynamic sequences. Using this approach, we were able to illustrate, on a 'heat mesh', the gaze distribution of one or several viewers, i.e., the time spent on each part of the body, and to visualize viewers' timelines, which are linked to the heat mesh. Our approach notably provides an 'intuitive' overview combining the spatial and temporal characteristics of the gaze pattern, thereby constituting an efficient tool for quickly comparing the oculomotor behaviors of different viewers. The functionalities of our system are illustrated through two use case experiments with 2D and 3D animated media sources, respectively. Bern Open Publishing 2017-12-18 /pmc/articles/PMC7140781/ /pubmed/33828668 http://dx.doi.org/10.16910/jemr.10.5.7 Text en This work is licensed under a Creative Commons Attribution 4.0 International License, ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Article
Le Naour, Thibaut
Bresciani, Jean-Pierre
A skeleton-based approach to analyzing oculomotor behavior when viewing animated characters
title A skeleton-based approach to analyzing oculomotor behavior when viewing animated characters
title_full A skeleton-based approach to analyzing oculomotor behavior when viewing animated characters
title_fullStr A skeleton-based approach to analyzing oculomotor behavior when viewing animated characters
title_full_unstemmed A skeleton-based approach to analyzing oculomotor behavior when viewing animated characters
title_short A skeleton-based approach to analyzing oculomotor behavior when viewing animated characters
title_sort skeleton-based approach to analyzing oculomotor behavior when viewing animated characters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140781/
https://www.ncbi.nlm.nih.gov/pubmed/33828668
http://dx.doi.org/10.16910/jemr.10.5.7
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