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Multimodal recognition of frustration during game-play with deep neural networks

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Bibliographic Details
Main Authors: Carlos de la, Fuente, Francisco J., Castellanos, Jose J., Valero-Mas
Format: Book
Language:English
Published: Springer 2023
Subjects:
aspect of the field of emotional recognition
non-invasive
Online Access:https://link.springer.com/article/10.1007/s11042-022-13762-7
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7356
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spelling oai:localhost:PNK-73562023-03-31T01:33:11Z Multimodal recognition of frustration during game-play with deep neural networks Carlos de la, Fuente Francisco J., Castellanos Jose J., Valero-Mas aspect of the field of emotional recognition non-invasive CC BY Frustration, which is one aspect of the field of emotional recognition, is of particular interest to the video game industry as it provides information concerning each individual player’s level of engagement. The use of non-invasive strategies to estimate this emotion is, therefore, a relevant line of research with a direct application to real-world scenarios. While several proposals regarding the performance of non-invasive frustration recognition can be found in literature, they usually rely on hand-crafted features and rarely exploit the potential inherent to the combination of different sources of information. This work, therefore, presents a new approach that automatically extracts meaningful descriptors from individual audio and video sources of information using Deep Neural Networks (DNN) in order to then combine them, with the objective of detecting frustration in Game-Play scenarios. 2023-03-31T01:33:10Z 2023-03-31T01:33:10Z 2023 Book https://link.springer.com/article/10.1007/s11042-022-13762-7 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7356 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic aspect of the field of emotional recognition
non-invasive
spellingShingle aspect of the field of emotional recognition
non-invasive
Carlos de la, Fuente
Francisco J., Castellanos
Jose J., Valero-Mas
Multimodal recognition of frustration during game-play with deep neural networks
description CC BY
format Book
author Carlos de la, Fuente
Francisco J., Castellanos
Jose J., Valero-Mas
author_facet Carlos de la, Fuente
Francisco J., Castellanos
Jose J., Valero-Mas
author_sort Carlos de la, Fuente
title Multimodal recognition of frustration during game-play with deep neural networks
title_short Multimodal recognition of frustration during game-play with deep neural networks
title_full Multimodal recognition of frustration during game-play with deep neural networks
title_fullStr Multimodal recognition of frustration during game-play with deep neural networks
title_full_unstemmed Multimodal recognition of frustration during game-play with deep neural networks
title_sort multimodal recognition of frustration during game-play with deep neural networks
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s11042-022-13762-7
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7356
_version_ 1761912523771084800
score 8.881002

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