Introduction of a Low-Cost and Automated Four-Dimensional Assessment System of the Face
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Le résumé fourni par la source
SUMMARY: Existing automated objective grading systems either fail to consider the face's complex three-dimensional morphology or have poor feasibility and usability. Consumer-based red, green, and blue depth sensors or smartphone integrated three-dimensional hardware can inexpensively collect detailed four-dimensional facial data in real time but are yet to be incorporated into a practical system. This study aimed to evaluate the feasibility of a proof-of-concept automated four-dimensional facial assessment system using a red/green/blue depth sensor (OpenFAS) for use in a standard clinical environment. This study was performed on healthy adult volunteers and patients with facial nerve palsy. The setup consists of the Intel (Santa Clara, Calif.) RealSense SR300 connected to a laptop running the OpenFAS application. The subject sequentially mimics the facial expressions shown on screen. Each frame is landmarked and automatic anthropometric calculations are performed. Any errors during each session were noted. Landmarking accuracy was estimated by comparing the ground-truth position of landmarks annotated manually with those placed automatically. Eighteen participants were included in the study, nine healthy participants and nine patients with facial nerve palsy. Each session was standardized at approximately 106 seconds. A total of 61.8 percent of landmarks were automatically annotated within approximately 1.575 mm of their ground-truth locations. The findings support that OpenFAS is usable and feasible in routine settings, laying down the critical groundwork for a facial assessment system that addresses the shortcomings of existing tools. The iteration of OpenFAS presented in this study is nascent; future work, including improvements to landmarking accuracy, analyses components, and red/green/blue depth technology, is required before clinical application.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Introduction of a Low-Cost and Automated Four-Dimensional Assessment System of the Face
- Date Crossref
- 06/07/2022
- Éditeur
- Ovid Technologies (Wolters Kluwer Health)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
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The University of Sydney pays non établi dans la noticeUniversité ou école supérieure
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Cancer Institute (WIA) pays non établi dans la noticeÉtablissement de santé
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UNSW Sydney pays non établi dans la noticeUniversité ou école supérieure
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Chris O’Brien Lifehouse pays non établi dans la noticeOrganisation à but non lucratif
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From The University of New South Wales pays non établi dans la noticeUniversité ou école supérieure
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Related digital media are available in the full-text version of the article on www.PRSJournal.com pays non établi dans la noticeInstitution
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Sydney Head and Neck Cancer Institute pays non établi dans la noticeStructure de recherche
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Faculty of Medicine and Health Sydney Medical School pays non établi dans la noticeUniversité ou école supérieure
The University of Sydney, Cancer Institute (WIA) et UNSW Sydney, avec 5 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.