Artificial intelligence for emotion recognition from microexpressions uding unsupervised recurrently cascaded cluster classifier
By: Rai, Ankush
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Contributor(s): Kannan. Jagadeesh R.
Publisher: Haryana International Science Press 2021Edition: Vol.12(1),Jan-Jun.Description: 37-48p.Subject(s): Mechanical EngineeringOnline resources: Click here
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 location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2022-0663 |
Total holds: 0
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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