Brain signals - emotion states i
Many past research works have been done to perform feature extraction and classification of human emotions based on brain signals. More commonly, many researches have chosen Discrete Wavelet Transform (DWT) coefficients as a feature vector as it gave a better accuracy compared to other features....
Saved in:
Main Author: | Yeong, Yi Qi |
---|---|
Other Authors: | Ser Wee |
Format: | Final Year Project |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/60497 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Emotional state classification of brain signals using extreme learning machine (ELM) algorithm
by: Yohanes, Rendi Ein Janvier.
Published: (2012) -
EEG based sensing of brain signals : emotional states feature extraction
by: Per, Sau Wei.
Published: (2011) -
Neural signal processing techniques to analyse motor functions in EEG-based brain-computer interfaces
by: Vikram, Shenoy Handiru
Published: (2018) -
EEG based sensing of brain signals : emotional states classification
by: Heah, Dian Chuan.
Published: (2011) -
Emotional states classification from brain signals
by: Lee, Vinson Bing Jun.
Published: (2013)