Cross-Context Stress Detection: Evaluating Machine Learning Models on Heterogeneous Stress Scenarios Using EEG Signals

Cross-Context Stress Detection: Evaluating Machine Learning Models on Heterogeneous Stress Scenarios Using EEG Signals

<b>Background/Objectives:</b> This article addresses the challenge of stress detection across diverse contexts. Mental stress is a worldwide concern that substantially affects human health and productivity, rendering it a critical research challenge. Although numerous studies have invest...

Full description

Saved in:
Bibliographic Details
Main Authors: Omneya Attallah, Mona Mamdouh, Ahmad Al-Kabbany
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:AI
Subjects:
stress detection
machine learning
wavelet denoising
electroencephalograms (EEGs)
mental arithmetic evaluation (MAE)
virtual reality
Online Access:https://www.mdpi.com/2673-2688/6/4/79
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2673-2688/6/4/79

Similar Items