Emotion Recognition Related to Stock Trading Using Machine Learning Algorithms With Feature Selection

Emotion Recognition Related to Stock Trading Using Machine Learning Algorithms With Feature Selection

This article proposes an emotion elicitation method to develop our Stock-Emotion dataset: a collection of the participants' electroencephalogram (EEG) signals who paper-traded using real stock market data, virtual money, and outcomes that emotionally affected them. A system for emotion recognit...

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Bibliographic Details
Main Authors: Edgar P. Torres, Edgar Alejandro Torres, Myriam Hernandez-Alvarez, Sang Guun Yoo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
BCI
EEG
DE
DASM
RASM
random forest
Online Access:https://ieeexplore.ieee.org/document/9247095/

Internet

https://ieeexplore.ieee.org/document/9247095/

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