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Emotion Recognition AI — Is this a New Reality?
What are the implications if AI can Recognize Our Emotions?
Software using machine learning to detect human emotion is the newest emerging technology trend in the AI sector. It is also known as ERT (Emotion Recognition Technology) or Emotion AI, which is a subset of artificial intelligence that measures, understands, simulates, and reacts to human emotions. While the concept of emotion-tracking technology is not novel (initial ideation dates at least back to 1995), its potential use case has broadened during the pandemic given the lack of in-person interaction.
Currently, emotion detection (mood detection) is based on the “emotion theory” that classifies universal emotion into six categories: fear, anger, happiness, sadness, disgust, and surprise. This theory was first proposed by Paul Ekman, a U.S. psychologist, and has been widely quoted.
While still in its infancy, there are numerous techniques that attempt to detect human emotions as accurately as possible (from Emotional AI Lab):
Sentiment analysis: online language, emojis, images and video for evidence of moods, feelings and emotions
