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Artificial intelligence for emotion recognition from microexpressions using unsupervised recurrently cascaded cluster classifier

By: Rai, Ankush.
Contributor(s): Kannan. Jagadeesh R.
Publisher: Haryana International Science Press 2021Edition: Vol.13(1), Jan-June.Description: 39-50p.Subject(s): Computer EngineeringOnline resources: Click here In: International journal of artificial intelligence and computational researchSummary: The paper studied the intelligent ways of extracting human centered emotional cues and letting the unsupervised machine learning of humans behavioral & emotional interaction. This will improve the current status of Human-computer interaction. In the recent few years there have been several advances of face detection and tracking, feature extraction but only a few years there have been several advance of face detection and tracking, feature extraction but only a few been attempted for expression classification for a moving frame sequences and those attempts are limited to the expression classifiers.....
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The paper studied the intelligent ways of extracting human centered emotional cues and letting the unsupervised machine learning of humans behavioral & emotional interaction. This will improve the current status of Human-computer interaction. In the recent few years there have been several advances of face detection and tracking, feature extraction but only a few years there have been several advance of face detection and tracking, feature extraction but only a few been attempted for expression classification for a moving frame sequences and those attempts are limited to the expression classifiers.....

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