Attribute based Double Bounded Rough Neutrosophic Sets in Facial Expression Detection
Neutrosophic Sets and Systems
; 49:324-256, 2022.
Article
in English
| Scopus | ID: covidwho-1888096
ABSTRACT
In this paper, a hybrid intelligent structure called “Double Bounded Rough Neutrosophic Sets” is defined, which is a combination of Neutrosophic sets theory and Rough sets theory. Further, the Attribute based Double Bounded Rough Neutrosophic Sets was implemented using this hybrid intelligent structure for Facial Expression Detection on real time data. Facial expression detection is becoming increasingly important to understand one's emotion automatically and efficiently and is rich in applications. This paper implements some of these applications of facial expression such as differentiating between Genuine and Fake smiles, prediction of Depression, determining the Degree of Closeness to a particular Attribute/Expression and detection of fake expression during an examination. With the onset of COVID - 19 pandemic, majority of people are choosing to wear masks. A suitable method to detect Facial Expression with and without mask is also implemented. Double Bounded Rough Neutrosophic Sets proposed in this paper is found to yield better results as compared to that of individual structures (Neutrosophic sets theory or Rough sets theory) © 2022. All Rights Reserved.
Double Bounded Rough Neutrosophic Sets; Facial Expression Detection; Facial key points; Fuzzy set; Neutrosophic sets; Rough Set; Face recognition; Fake detection; Attribute-based; Double bounded rough neutrosophic set; Facial expression detections; Facial Expressions; Facial key point; Keypoints; Real-time data; Sets theory; Rough set theory
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Neutrosophic Sets and Systems
Year:
2022
Document Type:
Article
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