Using a fusion of traditional and novel technological methods, researchers are hoping to better quantify emotions to transform the face of the emotion quantification field

Human emotions are complex and are not always easily able to be boiled down to a recognizable pattern. Determining one's emotional state can be difficult human-to-human, and the many nuances of existence as an emotional entity seem impossible to train a non-human entity to understand, identify and learn from.

However, a considerable amount of work and research has been put into training artificial intelligence (AI) to observe, quantify and recognize various states of emotion in humans. The fusion of tried and true psychological methods combined with the intelligence and trainability of AI can make emotion recognition technology invaluable in fields such as health care and education.

Where conventional techniques are limited, AI can improve. Through the use of a multitude of developments, such as gesture recognition technology, facial emotion recognition (FER) and multi-modal emotional recognition, emotional recognition technology stands a chance to be transformational for many individuals and fields of study as a whole.

"This technology has the potential to transform fields such as health care, education, and customer service, facilitating personalized experiences and enhanced comprehension of human emotions," said Feng Liu, author and researcher of a review published in CAAI Artificial Intelligence Research.

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