“…Anger, disgust, fear, happiness, sadness, surprise and neutral Facial expression recognition [355] Destination promotional videos Pleasure, arousal Skin conductance, facial electromyography [355] Games scenario between a human user and a 3D humanoid agent Arousal, valence, fear, frustrated, relaxed, joyful, excited Electromyography, skin conductance [356] Dramatic film Real-time emotion estimation EEG, Heart Rate, Galvanic Skin Response [357] Emotional state of a driver while in an automobile Happy, anger Electrocardiogram (ECG) [358] Music Pleasure, unpleasure Heart and respiratory rates [359] Trier Social Stress Test Stress, relax Respiratory rate and heart rate [360] Voice-and speech-pattern analysis Normal, angry, panic Voice, speech [361] Implicit anxiety-related self-concept Shame, guilt proneness, anxiety, angerhostility Implicit Association Test [362] Case studies Self-control, happiness, anger, fear, sadness, surprise, and anxiety Mouse Tracking [302] Academic study website Neutral, positive, negative Mouse Tracking [363] Motor The combination of several different approaches to the recognition and classification of emotional state (also known as multimodal emotion recognition) is currently a research area of great interest, especially since the use of different physiological signals can provide huge amounts of data. Since each physiological can make a significant impact on the ability to classify emotions [333]. Table 3.3 presents an overview of studies related to the recognition of valence, arousal, emotional states, physiological states, and affective attitudes (affect).…”