EEG-based emotion recognition using deep learning
Emotion recognition is critical in both human-machine interfaces and brain-computer interfaces. Emotion is one of the most important factors in understanding human behavior and cognition. By precisely analyzing human emotion from electroencephalograms (EEGs) through methods such as deep learning and...
Saved in:
Main Author: | Samriddhi, Govil |
---|---|
Other Authors: | Arokiaswami Alphones |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/158193 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
EEG-based emotional stress recognition using deep learning techniques
by: Lai, Michelle Wei Ting
Published: (2018) -
EEG-based stress recognition using deep learning techniques
by: Nur Irsalina Zainudin
Published: (2020) -
EEG based sensing of brain signals : emotional states feature extraction
by: Per, Sau Wei.
Published: (2011) -
EEG-based fatigue recognition using deep learning techniques
by: Zheng, Tianhu
Published: (2022) -
EEG-based serious games design for medical applications
by: Wang, Mengying.
Published: (2011)