A machine learning approach to predict emotional arousal and valence from gaze extracted features

Vasileios Skaramagkas,Emmanouil Ktistakis,Dimitris Manousos,Nikolaos S. Tachos,Eleni Kazantzaki,Evanthia E. Tripoliti,Dimitrios I. Fotiadis,Manolis Tsiknakis

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)（2021）

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摘要

In the last years, many studies have been investigating emotional arousal and valence. Most of them have focused on the use of physiological signals such as EEG or EMG, cardiovascular measures or skin conductance. However, eye related features have proven to be very helpful and easy to use metrics, especially pupil size and blink activity. The aim of this study is to predict emotional arousal and ...

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关键词

emotional arousal,gaze,valence,machine learning,features

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