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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 ...
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 ...
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 ...
Emotion recognition from facial EMG signals using higher order statistics and principal component analysis
(Taylor & Francis, 2014-04)
Higher order statistics (HOS) is an efficient feature extraction method used in diverse applications such as bio signal processing, seismic data processing, image processing, sonar, and radar. In this work, we have ...
Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete fourier transform
(John Wiley & Sons, Inc., 2014)
Emotion recognition using physiological signals has gained momentum in the field of human computer–interaction. This work focuses on developing a user-independent emotion recognition system that would classify five emotions ...