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Methods and approaches on inferring human emotional stress changes through physiological signals: A review
(Inderscience Enterprises Ltd, 2013)
Emotional stress is kind of stressful state which is developed due to the continuous occurrence of negative emotions such as sad, disgust, angry and fear over a long period of time. In this work, a detailed investigation ...
Early predictionof cardiovascular diseases using ECG signal: A review
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
Electrocardiography is considered a representative signal of cardiac physiology. ECG signal analysis can provide lots of information about heart condition whether it is normal and abnormal. Cardiovascular Disease (CVD) is ...
Frequency study of facial electromyography signals with respect to emotion recognition
(Walter de Gruyter GmbH, 2014-01)
Emotional intelligence is one of the key research areas in human-computer interaction. This paper reports the development of an emotion recognition system using facial electromyogram (EMG) signals focusing the ambiguity ...
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) ...
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 ...
Classification of driver drowsiness level using wireless EEG
(Przegląd Elektrotechniczny, 2013)
In this work, wireless Electroencephalogram (EEG) signals are used to classify the driver drowsiness levels (neutral, drowsy, high drowsy and sleep stage1) based on Discrete Wavelet Packet Transform (DWPT). Two statistical ...
Human emotion recognition through short time Electroencephalogram (EEG) signals using Fast Fourier Transform (FFT)
(Institute of Electrical and Electronics Engineers (IEEE), 2013-03)
Human emotion recognition plays a vital role in psychology, psycho-physiology and human machine interface (HMI) design. Electroencephalogram (EEG) reflects the internal emotional state changes of the subject compared to ...
Detection of human stress using short-term ECG and HRV signals
(World Scientific Publishing Company, 2013-04)
This paper introduces a method for resolving the problem of human stress detection through short-term (less than 5 min) electrocardiogram (ECG) and heart rate variability (HRV) signals. The explored methodology helps to ...
Multiple physiological signal-based human stress identification using non-linear classifiers
(2013)
This paper describes the human stress identification using multiple physiological signals. The Electrocardiogram (ECG), Electromyogram (EMG), Heart Rate Variability (HRV), Galvanic Skin Response (GSR), and Skin Temperature ...
Mathematical modeling of human body for lifting task
(IEEE Conference Publications, 2012)
Physical lifting tasks commonly involve to types of body postures, namely, squat lifting and stoop lifting. Studies shows improper body posture during lifting task has detrimental effect to human lower-back region over ...