Multimodal Real-Time patient emotion recognition system using facial expressions and brain EEG signals based on Machine learning and Log-Sync methods
Top Cited Papers
Open Access
- 9 January 2024
- journal article
- research article
- Published by Elsevier in Biomedical Signal Processing and Control
- Vol. 91
Abstract
No abstract availableKeywords
Funding Information
- Kuwait University
This publication has 32 references indexed in Scilit:
- EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and OpportunitiesComputational Intelligence and Neuroscience, 2020
- Expression-EEG Based Collaborative Multimodal Emotion Recognition Using Deep AutoEncoderIEEE Access, 2020
- EEG-Based BCI Emotion Recognition: A SurveySensors, 2020
- Alterations in facial expressions of emotion: Determining the promise of ultrathin slicing approaches and comparing human and automated coding methods in psychosis risk.Emotion, 2020
- Asymmetrical characteristics of emotional responses to pictures and sounds: Evidence from pupillometryPLOS ONE, 2020
- M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech CuesProceedings of the AAAI Conference on Artificial Intelligence, 2020
- A Review on Five Recent and Near-Future Developments in Computational Processing of Emotion in the Human VoiceEmotion Review, 2020
- Complex Scenes From the International Affective Picture System (IAPS)Experimental Psychology, 2020
- Toward an Automatic System for Computer-Aided Assessment in Facial PalsyFacial Plastic Surgery & Aesthetic Medicine, 2020
- Three-dimensional cameras and skeleton pose tracking for physical function assessment: A review of uses, validity, current developments and Kinect alternativesGait & Posture, 2019