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PNN based driver drowsiness level classification using EEG
(JATIT & LLS. All rights reserved, 2013-06)
In this work, we classify the driver drowsiness level (awake, drowsy, high drowsy and sleep stage1) based on different wavelets and probabilistic neural network classifier using wireless EEG signals. Deriving the amplitude ...
ECG signals based mental stress assessment using wavelet transform
(IEEE Conference Publications, 2011-11)
This paper describes the mental stress assessment using Electrocardiography (ECG) signal. Stress reflects the changes in heart rates under stressful situation. In this work, Heart Rate Variability (HRV) from ECG signal is ...
Electromyogram signal based human emotion classification using KNN and LDA
(IEEE Conference Publications, 2011-06)
In this paper, we presents Electromyogram (EMG) signal based human emotion classification using K Nearest Neighbor (KNN) and Linear Discriminant Analysis (LDA). Five most dominating emotions such as: happy, disgust, fear, ...
Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT)
(Society of Physical Therapy Science, 2013-06)
[Purpose] Intelligent emotion assessment systems have been highly successful in a variety of applications, such as e-learning, psychology, and psycho-physiology. This study aimed to assess five different human emotions ...
Subtractive fuzzy classifier based driver drowsiness levels classification using EEG
(IEEE Conference Publications, 2013-04)
Driver drowsiness is one of the major causes for several road accidents over the world. In this study, Electroencephalogram (EEG) signals were acquired using 14 electrodes from 50 subjects. All the electrodes are placed ...
Subtractive fuzzy classifier based driver distraction levels classification using EEG
(Society of Physical Therapy Science, 2013)
[Purpose] In earlier studies of driver distraction, researchers classified distraction into two levels (not distracted, and distracted). This study classified four levels of distraction (neutral, low, medium, high). [Subjects ...
Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT)
(Society of Physical Therapy Science, 2013-06)
[Purpose] Intelligent emotion assessment systems have been highly successful in a variety of applications, such as e-learning, psychology, and psycho-physiology. This study aimed to assess five different human emotions ...
Classification of human emotion from eeg using discrete wavelet transform
(Scientific Research Publishing Inc, 2010-04)
In this paper, we summarize the human emotion recognition using different set of electroencephalogram (EEG) channels using discrete wavelet transform. An audio-visual induction based protocol has been designed with more ...