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New Approach for an Affective Computing-Driven Quality of Experience (QoE) Prediction

New Approach for an Affective Computing-Driven Quality of Experience (QoE) Prediction

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2886745862

New Approach for an Affective Computing-Driven Quality of Experience (QoE) Prediction

About this item

Full title

New Approach for an Affective Computing-Driven Quality of Experience (QoE) Prediction

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2023-11

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

In human interactions, emotion recognition is crucial. For this reason, the topic of computer-vision approaches for automatic emotion recognition is currently being extensively researched. Processing multi-channel electroencephalogram (EEG) information is one of the most researched methods for automatic emotion recognition. This paper presents a ne...

Alternative Titles

Full title

New Approach for an Affective Computing-Driven Quality of Experience (QoE) Prediction

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2886745862

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2886745862

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2311.02647

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