Artificial intelligence for emotion recognition from microexpressions uding unsupervised recurrently cascaded cluster classifier
Publication details: Haryana International Science Press 2021Edition: Vol.12(1),Jan-JunDescription: 37-48pSubject(s): Online resources: In: International journal of production and quality engineeringSummary: Paper stdied 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, feature. In the recent few years there have been several advancec 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.| Item type | Current library | Status | Barcode | |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2022-0663 |
Paper stdied 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, feature. In the recent few years there have been several advancec 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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