Introduction
In the post COVID-19 scenario, the global emotion detection and recognition market size is projected to grow from $19.5 billion in 2020 to $37.1 billion by 2026, at a Compound Annual Growth Rate (CAGR) (Market Research Firm, n.d.).
Emotional Artificial Intelligence, or Emotion AI, is a technology that is capable of reading, imitating, interpreting, and responding to human facial expressions and emotions (Somers, 2019). This is also known as Affective Computing. Emotion AI is not limited to facial expressions. Sources for Emotion AI can also come from text (natural language processing and sentiment analysis), audio (voice emotion AI), video (facial movement analysis, gait analysis and physiological signals) or combinations thereof.
American psychologist Paul Ekman, who is renowned for having come up with a theory of universal emotions which holds that:
Of all the human emotions we experience, there are seven universal emotions that we all feel, transcending language, regional, cultural, and ethnic differences. Each…
