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Detection of confusion behavior using a facial expression based on different classification algorithms
Joint Authors
Yasir, Fatimah I.
Abbas, Sad Mutashar
Abd, Bassam H.
Source
Engineering and Technology Journal
Issue
Vol. 39, Issue 2A (28 Feb. 2021), pp.316-325, 10 p.
Publisher
Publication Date
2021-02-28
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Confusion detection systems (CDSs) that need Noninvasive, mobile, and cost-effective methods use facial expressions as a technique to detect confusion.
In previous works, the technology that the system used represents a major gap between this proposed CDS and other systems.
This CDS depends on the Facial Action Coding System (FACS) that is used to extract facial features.
The FACS shows the motion of the facial muscles represented by Action Units (AUs); the movement is represented with one facial muscle or more.
Seven AUs are used as possible markers for detecting confusion that has been implemented in the form of a single vector of facial action; the AUs that have been used in this work are AUs 4, 5, 6, 7, 10, 12, and 23.
The database used to calculate the performance of the proposed CDS is gathered from 120 participants (91males, 29 females), between the ages of 18-45.
Four types of classification algorithms are used as individuals; these classifiers are (VG-RAM), (SVM), Logistic Regression and Quadratic Discriminant classifiers.
The best success rate was found when using Logistic Regression and Quadratic Discriminant.
This work introduces different classification techniques to detect confusion by collecting an actual database that can be used to evaluate the performance for every CDS employing facial expressions and selecting appropriate facial features.
American Psychological Association (APA)
Yasir, Fatimah I.& Abd, Bassam H.& Abbas, Sad Mutashar. 2021. Detection of confusion behavior using a facial expression based on different classification algorithms. Engineering and Technology Journal،Vol. 39, no. 2A, pp.316-325.
https://search.emarefa.net/detail/BIM-1281602
Modern Language Association (MLA)
Yasir, Fatimah I.…[et al.]. Detection of confusion behavior using a facial expression based on different classification algorithms. Engineering and Technology Journal Vol. 39, no. 2A (2021), pp.316-325.
https://search.emarefa.net/detail/BIM-1281602
American Medical Association (AMA)
Yasir, Fatimah I.& Abd, Bassam H.& Abbas, Sad Mutashar. Detection of confusion behavior using a facial expression based on different classification algorithms. Engineering and Technology Journal. 2021. Vol. 39, no. 2A, pp.316-325.
https://search.emarefa.net/detail/BIM-1281602
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 324-325
Record ID
BIM-1281602