Judging Emotion from EEGs Using Pseudo Data

Autor: Misako Imono, Seiji Tsuchiya, Hirokazu Watabe
Rok vydání: 2021
Předmět:
Zdroj: Transactions on Computational Science and Computational Intelligence ISBN: 9783030702953
Popis: For a robot to converse naturally with a human, it must be able to accurately gauge the emotional state of the person. Techniques for estimating the emotions of a person from facial expressions, intonation and speech content have been proposed. This chapter presents a technique for judging the emotion of a person from EEGs by SVM using pseudo extended data. The accuracy of emotion judgment from EEG features using at random pseudo extended data was 25.0% and using proposed extension technique was 30.0%. However, performance accuracy remains low, and continued development is required through further development of methods for both reducing noise mixed with EEGs.
Databáze: OpenAIRE