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Difference between Emotional Recognition in AI and Humans

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Emotional Recognition in AI It is also known as Affective Computing or Artificial Emotional Intelligence, is one of the emerging areas of Artificial Intelligence. Artificial intelligence is integrated with computer science, cognitive science, robotics, psychology and biometrics so that we can make communication and interaction with machines emotionally. 

Emotional Recognition in Humans It is the process to identify human emotions. People vary widely in their accuracy at recognizing the emotions of others. Emotion recognition in humans is called Emotional intelligence. It gives the power to use, manage and understand our emotions in positive ways to relieve stress, communicate effectively, overcome challenges and defuse conflict. 

Difference between Emotional Recognition in AI and Humans:

S.NO. Emotional Recognition in AI Emotional Recognition in Humans
1 Emotional recognition in AI involves various processes like recognition, interpretation, and replication of human emotions by means of dedicated computers and specified machines Emotion recognition in Humans simply involves the process of identifying emotions of an individuals.
2

Emotional recognition in AI have two approaches for emotion recognition:

  • knowledge-based techniques
  • statistical methods
Emotion recognition in humans is a natural phenomenon
3 Emotional recognition in AI involves feeling the heart rate, body temperature, fitness level, and respiration by the machines. Humans being have a natural way of understanding and interpreting emotions of others.
4 It is the new branch of AI and use technology to capture and identify emotions. It is the science of identify emotions from body language, gesture and facial expression
5

Application are:

  • Mood changing lights
  • Automatic tutoring systems
  • Digital assessments
It involves recognition based on visual experience of facial expression

Last Updated : 30 Jun, 2022
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