Face Detection for Augmented Reality Application Using Boosting-based Techniques

Hbali, Youssef; Ballihi, Lahoucine; Sadgal, Mohammed; Fazziki, Abdelaziz El

doi:10.9781/ijimai.2016.424

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…Automatic facial expression recognition can be used in patient care [ 26 ] and medical education [ 27 ], as well as in virtual reality [ 28 ] and augmented reality-based games [ 29 ]. Although some studies have explored the link between facial expression recognition technology and academic performance [ 18 , 19 , 30 ], there is limited research in the field of nursing education.…”

Section: Discussionmentioning

confidence: 99%

Relationships between Nursing Students’ Skill Mastery, Test Anxiety, Self-Efficacy, and Facial Expressions: A Preliminary Observational Study

et al. 2022

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Test anxiety and self-efficacy significantly influence the mastery of nursing skills. Facial expression recognition tools are central components to recognising these elements. This study investigated the frequent facial expressions conveyed by nursing students and examined the relationships between nursing skill mastery, test anxiety, self-efficacy, and facial expressions in a test-taking situation. Thirty-three second-year nursing students who were attending a university in a Korean metropolitan city participated. Test anxiety, self-efficacy, and facial expressions were collected while the students inserted indwelling catheters. Using Microsoft Azure software, the researchers examined the students’ facial expressions. Negative facial expressions, such as anger, disgust, sadness, and surprise, were more common during the test-taking situation than the practice trial. Fear was positively correlated with anxiety. None of the facial expressions had significant relationships with self-efficacy; however, disgust was positively associated with nursing skill mastery. The facial expressions during the practice and test-taking situations were similar; however, fear and disgust may have been indicators of test anxiety and skill mastery. To create a screening tool for detecting and caring for students’ emotions, further studies should explore students’ facial expressions that were not evaluated in this study.

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Section: Discussionmentioning

confidence: 99%

Relationships between Nursing Students’ Skill Mastery, Test Anxiety, Self-Efficacy, and Facial Expressions: A Preliminary Observational Study

et al. 2022

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“…Augmented reality is a multimedia technology where a two-dimensional or three-dimensional virtual object is combined into a three-dimensional realworld form then projects a virtual object in real-time. As time goes by, today's technology allows the development of applications in various fields including industrial fields [4]. Currently, the use of AR has spread to various industrial fields, for example the fashion industry.…”

Section: Introductionmentioning

confidence: 99%

The Implementation of Augmented Reality Hairstyles at Beauty Salons Using the Viola-Jones Method (Case Study: Eka Salon)

Putri

Syahputra

Permana

2020

JISA

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Augmented reality is the technology that superimposes a computer-generated digital content on a user's view of the real world in a real time so users can experience the real virtual objects. The use of augmented reality has spread into various industries, for an example in the fashion industry. One of fashion industry type is hairstyle industry. Eka Salon is a beauty salon that provides beauty treatments for women's hair care. This salon has a problem that customer are not satisfacted with the results of their new haircut because that doesnt match with their expectations. This can be seen from the results of observations at Eka Salon is resulted that 8 out of 15 interviewed customers were not satisfied with their new haircuts because it did not match the appearance in the catalog. In this research, an augmented reality hairstyles will be made that can visualize how the shape of the selected hairstyle by the customer without having to cut their hair first. The Viola-Jones method was chosen as the method used in this study because it has a high accuracy of 90% in face detection. The result of this research is that the Viola-Jones method can detect facial surfaces and generate a 3D hairstyle model distance to 100cm properly. The test of the acceptance level of this application is carried out by Eka Salon customers with an average percentage of 84.3%.

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“…Hbali et al [4] present a marker-less augmented reality application, which benefits of boosting techniques. The accuracy of a trained face detector depends on the data, algorithm and training parameters used for training.…”

Section: T He International Journal Of Interactive Multimedia and Artmentioning

confidence: 99%

Editor's Note

Verdú¹

2016

IJIMAI

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Face Detection for Augmented Reality Application Using Boosting-based Techniques

Cited by 5 publications

References 16 publications

Relationships between Nursing Students’ Skill Mastery, Test Anxiety, Self-Efficacy, and Facial Expressions: A Preliminary Observational Study

Relationships between Nursing Students’ Skill Mastery, Test Anxiety, Self-Efficacy, and Facial Expressions: A Preliminary Observational Study

The Implementation of Augmented Reality Hairstyles at Beauty Salons Using the Viola-Jones Method (Case Study: Eka Salon)

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