EEG-based emotion recognition via fast and robust feature smoothing
Electroencephalograph (EEG) signals reveal much of our brain states and have been widely used in emotion recognition. However, the recognition accuracy is hardly ideal mainly due to the following reasons: (i) the features extracted from EEG signals may not solely reflect one’s emotional patterns and...
Saved in:
Main Authors: | TANG, Cheng, WANG, Di, TAN, Ah-hwee, MIAO, Chunyan |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2017
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6079 https://ink.library.smu.edu.sg/context/sis_research/article/7082/viewcontent/bi2017.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Comprehensive analysis of feature extraction methods for emotion recognition from multichannel EEG recordings
by: Yuvaraj, Rajamanickam, et al.
Published: (2023) -
An Investigation of Deep Learning Models for EEG-Based Emotion Recognition
by: Zhang, Y., et al.
Published: (2021) -
ICA Based EEG Energy Spectrum for Detection of Negative Emotion by EEG
by: ZHAN LIANG
Published: (2010) -
Computation for EEG Brain Activity Identification
by: ZHENG HUI
Published: (2010) -
EEG COHERENCE BIOMARKERS FOR DIFFERENTIATING ATTENTION STATES
by: ROHIT TYAGI
Published: (2015)