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

University of Technology

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