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Time-frequency analysis of EEG signals for human emotion detection
(Springer Berlin Heidelberg, 2008)
This paper proposes an emotion recognition system from EEG (Electroencephalogram) signals. The main objective of this work is to compare the efficacy of classifying human emotions using two discrete wavelet transform (DWT) ...
A study on mental arithmetic task based human stress level classification using discrete wavelet transform
(IEEE Conference Publications, 2012-10)
Several studies examined human stress identification using Mental Arithmetic Task (MAT). The identification and prediction of stress levels using existing data processing methodologies are incompetent to predict the stress ...
Comparison of different wavelet features from EEG signals for classifying human emotions
(Institute of Electrical and Electronics Engineering (IEEE), 2009-10-04)
In recent years, estimation of human emotions from Electroencephalogram (EEG) signals plays a vital role on developing intellectual Brain Computer Interface (BCI) devices. In this work, we have collected the EEG signals ...
Combining spatial filtering and wavelet transform for classifying human emotions using EEG Signals
(Biomedical Engineering Society of the R.O.C., 2011)
In this paper, we present human emotion assessment using electroencephalogram (EEG) signals. The combination of surface Laplacian (SL) filtering, time-frequency analysis of wavelet transform (WT) and linear classifiers are ...