Discrete wavelet transform coefficients for emotion recognition from EEG signals
In this paper, we propose to use DWT coefficients as features for emotion recognition from EEG signals. Previous feature extraction methods used power spectra density values dervied from Fourier Transform or sub-band energy and entropy derived from Wavelet Transform. These feature extracion methods...
Saved in:
Main Authors: | Ser, Wee, Huang, Guang-Bin, Yohanes, Rendi E. J. |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/98800 http://hdl.handle.net/10220/12625 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Emotion recognition using EEG signals
by: Soh, Wei Lin
Published: (2015) -
EEG (brain-wave) recognition using transformers
by: Jin, Tiancheng
Published: (2022) -
EEG-based emotion recognition using deep learning techniques
by: Song, Wenyi
Published: (2021) -
EEG-based emotion recognition using deep learning techniques
by: Lang, Zihui
Published: (2020) -
EEG-based emotion recognition using deep learning
by: Samriddhi, Govil
Published: (2022)