Perspective Morphometric Criteria for Facial Beauty and Proportion Assessment

Ulrich, Luca; Dugelay, Jean‐Luc; Vezzetti, Enrico; Moos, Sandro; Marcolin, Federica

doi:10.3390/app10010008

Cited by 10 publications

(3 citation statements)

References 42 publications

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“…However, most of the research has primarily been conducted in the fields of aesthetics, orthodontics, and prosthetics. There have been attempts to explore the correlation between facial features and nutrition-focused indices such as BMI and waist-to-hip ratio [84][85][86][87][88][89][90][91]. Earlier studies used 2D images and relied on planar distances or 2D angularity to identify features that account for BMI variations [87,89,[92][93][94][95][96][97][98][99].…”

Section: Facial Morphometrics and Malnutrition Screeningmentioning

confidence: 99%

Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges

Tay¹,

Quek²,

Kaur³

et al. 2022

JMIR Public Health Surveill

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Undiagnosed malnutrition is a significant problem in high-income countries, which can reduce the quality of life of many individuals, particularly of older adults. Moreover, it can also inflate the costs of existing health care systems because of the many metabolic complications that it can cause. The current methods for assessing malnutrition can be cumbersome. A trained practitioner must be present to conduct an assessment, or patients must travel to facilities with specialized equipment to obtain their measurements. Therefore, digital health care is a possible way of closing this gap as it is rapidly gaining traction as a scalable means of improving efficiency in the health care system. It allows for the remote monitoring of nutritional status without requiring the physical presence of practitioners or the use of advanced medical equipment. As such, there is an increasing interest in expanding the range of digital applications to facilitate remote monitoring and management of health issues. In this study, we discuss the feasibility of a novel digital remote method for diagnosing malnutrition using facial morphometrics. Many malnutrition screening assessments include subjective assessments of the head and the face. Facial appearance is often used by clinicians as the first point of qualitative indication of health status. Hence, there may be merit in quantifying these subtle but observable changes using facial morphometrics. Modern advancements in artificial intelligence, data science, sensors, and computing technologies allow facial features to be accurately digitized, which could potentially allow these previously intuitive assessments to be quantified. This study aims to stimulate further discussion and discourse on how this emerging technology can be used to provide real-time access to nutritional status. The use of facial morphometrics extends the use of currently available technology and may provide a scalable, easily deployable solution for nutritional status to be monitored in real time. This will enable clinicians and dietitians to keep track of patients remotely and provide the necessary intervention measures as required, as well as providing health care institutions and policy makers with essential information that can be used to inform and enable targeted public health approaches within affected populations.

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Section: Facial Morphometrics and Malnutrition Screeningmentioning

confidence: 99%

Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges

Tay¹,

Quek²,

Kaur³

et al. 2022

JMIR Public Health Surveill

View full text Add to dashboard Cite

show abstract

Section: Facial Morphometrics and Malnutrition Screeningmentioning

confidence: 99%

Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges (Preprint)

Tay¹,

Quek²,

Kaur³

et al. 2021

Preprint

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UNSTRUCTURED Undiagnosed malnutrition is a significant problem in developed countries that can reduce quality of life for many individuals, particularly in the elderly. Moreover, it can also inflate the costs of existing healthcare systems due to the many metabolic complications it can cause. Current methods of assessing malnutrition can be cumbersome. It is required for a trained practitioner to be present to conduct an assessment, or that patients travel to facilities with specialised equipment to obtain their measurements. Therefore, digital healthcare is a possible way of closing this gap as it is fast gaining traction as a scalable means of improving efficiency in the healthcare system. It allows for nutritional status to be monitored remotely without requiring the physical presence of practitioners or the use of advanced medical equipment. As such there is an increasing interest to expand the range of digital applications so as to facilitate remote monitoring and management of health issues. In this paper, we discuss the feasibility of a novel digital remote method of diagnosing malnutrition using of facial morphometrics. Many malnutrition screening assessments include a subjective assessment of the head and face. Facial appearance is often used by clinicians as the first point of qualitative indication of health status. Hence, there may be merit in quantifying these subtle, yet observable, changes through the use of facial morphometrics. Modern advancements in artificial intelligence, data science, sensors and computing technologies allow for facial features in the face to be accurately digitised, which could potentially allow these previously intuitive assessments to be quantified. This paper aims to stimulate further discussion and discourse on how this emerging technology can be used to provide real-time access to nutrition status. The use of facial morphometrics extends the use of currently available technology and may provide a scalable, easily deployable solution for nutrition status to be monitored in real-time. This will provide clinicians and dietitians the ability to keep track of patients remotely and provide the necessary intervention measures as required, as well as provide healthcare institutions and policy makers with essential information that can be utilised to inform and enable targeted public health approaches within affected populations.

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“…The human ability in controlling machines through intuitive and natural behaviors has been fostered by even more user-friendly interfaces, including gesture-based systems [1]. Innovative solutions such as Augmented Reality (AR) and Virtual Reality (VR) play a key role in this respect, adapting interfaces to individual users/scenarios through the design of virtual environments powered by biofeedback such as human posture, motion [1], and emotion [2,3].…”

Section: Introductionmentioning

confidence: 99%

Augmented Reality: Mapping Methods and Tools for Enhancing the Human Role in Healthcare HMI

et al. 2022

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Background: Augmented Reality (AR) represents an innovative technology to improve data visualization and strengthen the human perception. Among Human–Machine Interaction (HMI), medicine can benefit most from the adoption of these digital technologies. In this perspective, the literature on orthopedic surgery techniques based on AR was evaluated, focusing on identifying the limitations and challenges of AR-based healthcare applications, to support the research and the development of further studies. Methods: Studies published from January 2018 to December 2021 were analyzed after a comprehensive search on PubMed, Google Scholar, Scopus, IEEE Xplore, Science Direct, and Wiley Online Library databases. In order to improve the review reporting, the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used. Results: Authors selected sixty-two articles meeting the inclusion criteria, which were categorized according to the purpose of the study (intraoperative, training, rehabilitation) and according to the surgical procedure used. Conclusions: AR has the potential to improve orthopedic training and practice by providing an increasingly human-centered clinical approach. Further research can be addressed by this review to cover problems related to hardware limitations, lack of accurate registration and tracking systems, and absence of security protocols.

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Perspective Morphometric Criteria for Facial Beauty and Proportion Assessment

Cited by 10 publications

References 42 publications

Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges

Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges

Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges (Preprint)

Augmented Reality: Mapping Methods and Tools for Enhancing the Human Role in Healthcare HMI

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