eSEE-d: Emotional State Estimation Based on Eye-Tracking Dataset

eSEE-d: Emotional State Estimation Based on Eye-Tracking Dataset

Affective state estimation is a research field that has gained increased attention from the research community in the last decade. Two of the main catalysts for this are the advancement in the data analysis using artificial intelligence and the availability of high-quality video. Unfortunately, benc...

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Bibliographic Details
Main Authors: Vasileios Skaramagkas, Emmanouil Ktistakis, Dimitris Manousos, Eleni Kazantzaki, Nikolaos S. Tachos, Evanthia Tripoliti, Dimitrios I. Fotiadis, Manolis Tsiknakis
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Brain Sciences
Subjects:
emotion classification
arousal
valence
emotion database
neural networks
eye tracking
Online Access:https://www.mdpi.com/2076-3425/13/4/589

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https://www.mdpi.com/2076-3425/13/4/589

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