3D Virtual Garment Simulation and Facial Expression Recognition Technologies, Beauty Filter-based Appealing Self-presentation and Generative Artificial Intelligence Virtual Try-on Tools, and Deep Learning-based Gesture Recognition and Augmented Reality Face Makeup Systems for Body-Image Affective Judgments and Dysfunctional Appearance Beliefs

Based on an in-depth survey of the literature, the purpose of the paper is to explore 3D body scanning and deep learning-based multimodal emotion recognition technologies, object detection and categorization algorithms, and augmented reality face filters. Throughout June 2023, a quantitative literat...

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Bibliographic Details
Published in:Journal of research in gender studies 2023-12, Vol.13 (2), p.54-68
Main Author: Mihaila, Ramona
Format: Article
Language:English
Subjects:
Acknowledgment
Algorithms
Artificial intelligence
Augmentation
Augmented Reality
Beauty
Behavior
Bibliometrics
Biometrics
Body image
Clothing and dress
Deep learning
Digital twins
Emotion recognition
Emotions
Generative artificial intelligence
Geospatial data
Human body
Layout
Learning
Literature reviews
Mapping
Mediation
Motion capture
Personal appearance
Quality assessment
Reality
Scanning devices
Self esteem
Self image
Selfpresentation
Simulation
Social networks
Spatial data
Surveys
Systematic review
Visual perception
Visualization
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Summary:Based on an in-depth survey of the literature, the purpose of the paper is to explore 3D body scanning and deep learning-based multimodal emotion recognition technologies, object detection and categorization algorithms, and augmented reality face filters. Throughout June 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including "body-image affective judgments" and "dysfunctional appearance beliefs" + "3D virtual garment simulation and facial expression recognition technologies," "beauty filter-based appealing self-presentation and generative artificial intelligence virtual try-on tools," and "deep learning-based gesture recognition and augmented reality face makeup systems." As research published between 2017 and 2022 was inspected, only 170 articles satisfied the eligibility criteria, and 25 mainly empirical sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.
ISSN:2164-0262
2378-3524
DOI:10.22381/JRGS13220234