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Electroencephalogram based emotion recognition in Parkinson’s disease using non-linear methods
(Universiti Malaysia Perlis (UniMAP), 2015)
In addition to classic motor signs and symptoms, individuals with Parkinson's disease (PD) are characterized by emotional impairments. Electroencephalogram (EEG) signals, being an activity of the central nervous system, ...
Non-linear human emotion recognition system using ECG and EMG
(Universiti Malaysia Perlis (UniMAP), 2013)
This thesis focuses on analyzing different nonlinear algorithms to capture the emotional
information present in two bio-signals namely Electrocardiogram (ECG) and
Electromyogram (EMG). Emotion recognition is one of the ...
Investigation of nonlinear feature extraction techniques for facial emotion recognition
Over the last decades, facial emotion recognition has received a significant interest
among researchers in areas of computer vision, pattern recognition and its related field.
The increasing applications of facial emotion ...
Implementation of feature selection and weighting methods for emotion recognition from human actions
Emotion is a natural, instinctive state of mind emanating from one's circumstances, mood or relationships with others. Emotion can be characterized primarily by the psycho-physiological expressions, biological reactions, ...
Automated marker placement based real-time facial emotional expression recognition system
Facial expression recognition attracted several researchers over the past several decades and most of the researchers in the literature focus on facial expression recognition in “offline” and very few research works ...
Pattern recognition based emotional deficits assessment in stroke patients using time frequency analysis
Emotion perception in stroke patients is affected since there is abnormality in the brain. Here, this thesis focused on the impact of left brain damage and right brain damage towards emotion recognition. Due to the impaired ...