Course Topics
- Fundamentals of Affective Computing
- Emotion Theory and Emotional Design
- Experimental design: Affect Elicitation
- Emotions in facial expressions
- Emotions in Voice
- Emotions in Text
- Emotions in Physiological Signals
- Multimodal Emotion Recognition
- Emotional Empathy in Agents
- Online and Adaptive recognition of Emotions
- Case Study
- Ethical Issues: Ethical, legal and social Implications of Affective Computing
Affective Computing
Definition: The field of affective computing
encompasses both the creation of and interaction with machine systems that
sense, recognize, respond to and influence emotions.
Emotions are
physical and mental states brought on by neurophysiological changes, variously
associated with thoughts, feelings, behavioral responses, and a degree of
pleasure or displeasure. Emotions are often intertwined with mood, temperament,
personality, disposition, or creativity.
Affect sensing refers to a system that recognize emotion by receiving data
through signals and patterns.
Data:
-Facial
activity through camera
low cost and easy to use
privacy issues
color, thermal………
-Gesture,
pose activity through camera
-Microphone
- vocal
-Textual – Natural Language Processing
Signals:
Physiological signals:
EDA (Electrodermal activity) – conductivity
changes in the skin due to increase in the activity of sweat glands.
EEG(Electro-encephalo-graphy) – electrical activity of neurons
