Artificial Intelligence for Detecting Indoor Visual Discomfort from Facial Analysis of Building Occupants

Glare is a common local visual discomfort that is difficult to identify with conventional light sensors. This article presents an artificial intelligence algorithm that detects subjective local glare discomfort from the image analysis of the video footage of an office occupant’s face. The occupant’s face is directly used as a visual comfort sensor. Results show that it can recognize glare discomfort with around 90% accuracy. This algorithm can thus be at the basis of an efficient feedback control system to regulate shading devices in an office building.

Promoção de saúde oral em indivíduos com microcefalia: Relato de experiência

Um aumento significativo de recém-nascidos com microcefalia ocorreu desde 2015 no Brasil. Este relato descreve ações extensionistas desenvolvidas pelos discentes do curso de Odontologia de uma universidade pública brasileira. De 2017 a 2019, efetuaram-se ações de prevenção de doenças e promoção de saúde bucal, acompanhamento do desenvolvimento dentário/craniofacial e tratamento odontológico em indivíduos com Microcefalia. Foram atendidas 17 crianças e 2 adolescentes. Referente a hábitos alimentares e higiene oral, observou-se dieta pastosa e noturna, ausência de escovação da língua e a dentária, apenas uma vez por dia. Na análise facial, desarmonia e comprometimento funcional orofacial. No exame intraoral, observou-se biofilme visível, interposição lingual anterior atípica, mastigação unilateral, bruxismo dentário e desenvolvimento dentário normal. Realizaram-se abordagens educativas de higiene oral aos familiares, atenciosos ao aprendizado. O atendimento odontológico ocorreu de acordo com as necessidades de risco de cárie, desgastes dentários e doença periodontal. Houve a promoção do conhecimento científico e os benefícios advindos do ensino, pesquisa e extensão destas ações proporcionaram um elo entre a comunidade acadêmica e a sociedade. Palavras-chave: Assistência Odontológica; Pessoas com Deficiências; Saúde Pública; Odontologia Promotion of oral health in individuals with microcephaly: Experience report Abstract: A significant increase in newborns with microcephaly has occurred since 2015 in Brazil. This report describes extension actions developed by students of the Dentistry course at a Brazilian public university. From 2017 to 2019, actions for preventing oral diseases, monitoring dental/craniofacial development, and dental treatment were made available to individuals with microcephaly by students of the Dentistry course at UESB. Seventeen children and two teenagers were attended. A pasty and nocturnal diet, absence of tongue, and dental brushing were observed only once a day regarding eating habits and oral hygiene. In facial analysis, disharmony and orofacial functional impairment. Visible biofilm, atypical anterior lingual interposition, unilateral chewing, dental bruxism, and normal tooth development were observed in the intraoral examination. Educational approaches on oral hygiene were carried out to family members, attentive to learning. The dental care was following the needs of risk of caries, dental wear, and periodontal disease. Scientific knowledge was promoted. The benefits arising from teaching, research, and the extension regarding these actions link the academic community and society. Keywords: Dental Care; People with disabilities; Public Health; Dentistry

Orthognathic Surgery—LeFort I Osteotomy

Orthognathic surgery is a complex type of facial surgery that can have a profound impact on a patient's occlusal function and facial aesthetics. Close collaboration between the maxillofacial surgeon and an orthodontist is required, and the surgical team must have a strong foundation in facial analysis and firm understanding of the maxillofacial skeleton to achieve surgical success. Herein, we review the maxillary LeFort I osteotomy as it pertains to orthognathic surgery, with particular attention to the indications, contraindications, preoperative assessment, surgical technique, and possible complications encountered.

Chin and Malar Augmentation

Facial attractiveness relies on a balance between the nose, cheekbones, and chin. An increasingly visual world with social media, teleconferencing, and online interactions heighten the demand for procedures that deliver facial harmony. Aesthetic facial augmentation changes the facial shape, establishes a more youthful appearance, and de-emphasizes unpleasant facial prominences, ultimately elevating one’s confidence. Facial implants provide a long-term solution to creating facial harmony and can be combined with other facial rejuvenation procedures at low morbidity. After studying this article, the participant should be able to understand the principles and practice of facial implant surgery, with particular attention to implants of the chin and midface. This review contains 9 figures, 6 tables and 32 references Keywords: aesthetic surgery, aging face, biomaterial, chin, facial analysis, facial augmentation, facial implant, facial rejuvenation, injectable filler, midface

Facial Analysis

Facial analysis is a critical skill in the pre- as well as post-operative assessment of patients undergoing facial surgery. A successful approach is based on familiarity of normal anatomy, its clinical variance, and developing a systematic approach. In an an effort to develop a comprehensive and methodical approach, we have segregated out nasal elements from facial analysis. Progressive skill refinement requires a combination of foundational anatomy, a critical eye for facial harmony, and routine practice. This review contains 8 figures and 9 references Keywords: nasal analysis, facial analysis, Fitzpatrick, dental occlusion, cephalometrics, MRD-1, MRD-2, chin position, nasal tip projection

An Intelligent Feature Selection using Archimedes Optimization algorithm for Facial Analysis

Human facial analysis (HFA) has recently become an attractive topic for computer vision research due to the technological progress and the increase of mobile applications. HFA explores several issues as gender recognition, facial expression, age, and race recognition for automatically understanding social life. In addition, the development of several algorithms inspired by swarm intelligence, biological inspiration, and physical/mathematical rules allow giving another dimension of feature selection in the field of machine learning and computer vision. This paper develops a novel wrapper feature selection method for gender recognition using the Archimedes optimization algorithm (AOA). The paper's primary purpose is to automatically determine the optimal face area using AOA to recognize the gender of a human person categorized by two classes (Men and women). In this paper, the facial image is divided into several sub-regions (blocks), where each area provides a vector of characteristics using one method from handcrafted techniques as the local binary pattern (LBP), histogram oriented gradient (HOG), or Grey level co-occurrence matrix (GLCM). The proposed method (AOA) is assessed on two publicly datasets: Georgia Tech Face dataset (GT) and the Brazilian FEI dataset. The experimental results show a good performance of AOA compared to other recent and competitive optimizers as Sine cosine algorithm (SCA), Henry Gas Solubility Optimization (HGSO), Equilibrium Optimizer (EO), Emperor Penguin Optimizer (EPO), Harris Hawks Optimize (HHO), Multi-verse Optimizer (MVO) and Manta-ray Foraging Optimizer (MRFO) in terms of accuracy and the number of the selected area.