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About 10,000 papers for “Body shape”

Body Shape

Princeton University Press eBooks · 2024

Cited by 0

Digital body shape

Gabriele Pontillo, Carla Langella, Valentina Perricone et al. · Florence Research (University of Florence) · 2020

Il contributo intende indagare, attraverso due attività di ricerca dottorali, le possibilità offerte dall’impiego delle tecnologie digitali nell’ideazione e produzione di dispositivi terapeutici biomedicali. Obiettivo del progetto consiste nello sviluppo di un busto innovativo per il trattamento della scoliosi, in cui l’applicazione di metodi e strumenti del design parametrico e tecniche di scansione del corpo e fabbricazione digitale, congiuntamente all’approccio interdisciplinare tra designer, ortopedici, biologi e ingegneri, porta alla realizzazione di dispositivi che migliorino la qualità della vita degli utenti e le condizioni di intervento dei terapisti. Nello sviluppo della soluzione progettuale, verrà inoltre adottato un approccio biomimetico, volto ad analizzare, studiare e trasferire al dispositivo quelle caratteristiche biologiche ritenute idonee e migliorative di tale categoria di dispositivi, tra cui si cita la porosità gerarchica, la suddivisione in piastre modulari e articolate, la previsione di agganci reversibili e irreversibili, nonché la leggerezza e l’integrabilità. Quanto delineato, grazie all’impiego di strumenti parametrici e all’approccio biomimetico, consentirà di apportare un notevole grado di innovazione all’attuale stato dell’arte costituito dai busti stampati in 3D, in termini di ottimizzazione strutturale, customizzazione mediante algoritmi parametrici e scomposizione in piastre – che consentono di modulare e modificare la struttura del corsetto.

Cited by 0

Body Shape Calculator

Shintami Chusnul Hidayati, Yeni Anistyasari · 2021

Human body shape, which describes the contours of the body figure as well as the distribution of muscles and fat, contains a rich source of information, from health issues to aesthetic presentation of fashion styles. However, most of the existing methods for estimating body types are derived from subjective measures, which are susceptible to multiple biases. Determining the type of body shapes is still a challenging analytical task, for which open questions remain regarding good feature representation and classification methods, given noisy and imbalanced real-world data. In this work, we propose a novel body type recognition framework based on anthropometric measurements, which integrates label filtering and pseudo-feature synthesis modules. Label filtering is proposed to identify and filter out potentially noisy labels during classifier training, while pseudo-feature is generated to improve feature representation. Experimental results on the collected dataset from online feeds demonstrate the effectiveness of the approach compared to the state-of-the-art baselines.

Cited by 20

Body Shape + Stigma

Steven L. Neuberg, Jaimie Krems · OSF Preprints (OSF Preprints) · 2020

Cited by 0

Body Shape Preferences: Associations with Rater Body Shape and Sociosexuality

Michael E. Price, Nicholas Pound, James Dunn et al. · PLoS ONE · 2013

There is accumulating evidence of condition-dependent mate choice in many species, that is, individual preferences varying in strength according to the condition of the chooser. In humans, for example, people with more attractive faces/bodies, and who are higher in sociosexuality, exhibit stronger preferences for attractive traits in opposite-sex faces/bodies. However, previous studies have tended to use only relatively simple, isolated measures of rater attractiveness. Here we use 3D body scanning technology to examine associations between strength of rater preferences for attractive traits in opposite-sex bodies, and raters' body shape, self-perceived attractiveness, and sociosexuality. For 118 raters and 80 stimuli models, we used a 3D scanner to extract body measurements associated with attractiveness (male waist-chest ratio [WCR], female waist-hip ratio [WHR], and volume-height index [VHI] in both sexes) and also measured rater self-perceived attractiveness and sociosexuality. As expected, WHR and VHI were important predictors of female body attractiveness, while WCR and VHI were important predictors of male body attractiveness. Results indicated that male rater sociosexuality scores were positively associated with strength of preference for attractive (low) VHI and attractive (low) WHR in female bodies. Moreover, male rater self-perceived attractiveness was positively associated with strength of preference for low VHI in female bodies. The only evidence of condition-dependent preferences in females was a positive association between attractive VHI in female raters and preferences for attractive (low) WCR in male bodies. No other significant associations were observed in either sex between aspects of rater body shape and strength of preferences for attractive opposite-sex body traits. These results suggest that among male raters, rater self-perceived attractiveness and sociosexuality are important predictors of preference strength for attractive opposite-sex body shapes, and that rater body traits -with the exception of VHI in female raters- may not be good predictors of these preferences in either sex.

Cited by 42Open access

What Shape Is Healthy? Body Composition, Body Shape, and Health

Nathan Denton · 2021

Abstract Fat is one of the privileged few organs that has earned sufficient historic recognition for its importance to our well-being to be subject to routine inspection at home, in the clinic, and even the gym. We also tend to be very aware of how and where our clothes feel tight, whether we can squeeze comfortably into that economy seat on a plane or through that turnstile at the train station. But what do these feelings say about our health? Are we more in jeopardy if our gut is spilling over our belt, our bum is threatening to shred the seam of our trousers, or the scales are groaning under our weight? To obtain answers to such burning questions—answers which have implications that reach far beyond wardrobe malfunctions and uncomfortable travel—we must first understand techniques used to measure body composition and regional fat mass. Historically the preserve of a handful of enthusiastic experts, the colossal global burden of obesity and associated diseases has made accurate measurement of body composition and fat distribution a key research tool in the scientific and clinical arenas. This chapter reviews the various measurement techniques before examining the data they’ve generated on the striking yet complex relationship between body composition and fat distribution with health outcomes.

Cited by 0

Physical Fitness and Body Shape (Physical Shape)

Flor de María Cruz Estrada, Miguel Ángel Nieto Castillo, Jorge Alberto Sánchez Vega et al. · InTech eBooks · 2018

The purpose of this study was to determine Zulu women’s perceptions of their body image relative to weight status attending a noncommunicable disease (NCD) clinic in South Africa. A cross-sectional exploratory study design was used and included 328 (91%) Zulu women who were sampled systematically. The women were subjected to anthropometric measurements and engaged the Stunkard?s body image figures to determine perception. The study showed that 61% of the sample was in the 40–59 age strata. The mean body mass index (BMI) was 37kg/m2 (±9.41 kg/m2), with over 90% being overweight or obese. A discrepancy between Zulu women?s perceived body image and actual BMI existed in all weight status categories with overweight and obesity demonstrating the widest variations (p < 0.000). Women perceived themselves to be thinner than their actual BMI. More than 99% associated an underweight body image to one with disease. Diabetes mellitus (72%) was the most frequent NCD encountered. Only 23% with this condition correctly perceived their body image. It was shown that the negative impact of preferring a larger body image in Zulu women with preexisting NCDs could be refueling their existing comorbidities.

Cited by 1Open access

Physical Fitness and Body Shape (Physical Shape)

Flor de Maria Cruz Estrada, Miguel Ángel Nieto Castillo, Jorge Alberto Sánchez Vega et al. · Greater South Information System · 2018

The purpose of this study was to determine Zulu women's perceptions of their body image relative to weight status attending a noncommunicable disease (NCD) clinic in South Africa.A cross-sectional exploratory study design was used and included 328 (91%) Zulu women who were sampled systematically.The women were subjected to anthropometric measurements and engaged the Stunkard's body image figures to determine perception.The study showed that 61% of the sample was in the 40-59 age strata.The mean body mass index (BMI) was 37kg/m 2 (AE9.41kg/m 2 ), with over 90% being overweight or obese.A discrepancy between Zulu women's perceived body image and actual BMI existed in all weight status categories with overweight and obesity demonstrating the widest variations (p < 0.000).Women perceived themselves to be thinner than their actual BMI.More than 99% associated an underweight body image to one with disease.Diabetes mellitus (72%) was the most frequent NCD encountered.Only 23% with this condition correctly perceived their body image.It was shown that the negative impact of preferring a larger body image in Zulu women with preexisting NCDs could be refueling their existing comorbidities.

Cited by 0Open access

Types of Body Shape

Scheffler, Christiane (Dr. rer. nat.) · publish.UP (University of Potsdam) · 2013

Cited by 0

SHAPE – body, fashion, identity

Lucy Orta · University of the Arts London Research Online (University of the Arts London) · 2024

This exhibition presents examples of fashion and visual art practice that reflects on contemporary views of the body, beauty ideals and identity and inspired by global discussions around cosmetic surgery, cultural identity, gender roles and the impact of technology on our self-image. Artworks on display push the boundaries of the body exploring how forms shape identity and how dressing is assembled in the real world but also virtually with the help of artificial intelligence and digital fashion. Presented is 'Body Architecture - Collective Wear' a sculpture by Lucy Orta which interrogates the body as a communal entity expressed through wearable shelter-like forms with multiple arm and leg extensions.

Cited by 0

Body shape matters: Evidence from machine learning on body shape-income relationship

Suyong Song, Stephen Baek · PLoS ONE · 2021

The association between physical appearance and income has been of central interest in social science. However, most previous studies often measured physical appearance using classical proxies from subjective opinions based on surveys. In this study, we use novel data, called CAESAR, which contains three-dimensional (3D) whole-body scans to mitigate possible reporting and measurement errors. We demonstrate the existence of significant nonclassical reporting errors in the reported heights and weights by comparing them with measured counterparts, and show that these discrete measurements are too sparse to provide a complete description of the body shape. Instead, we use a graphical autoencoder to obtain intrinsic features, consisting of human body shapes directly from 3D scans and estimate the relationship between body shapes and family income. We also take into account a possible issue of endogenous body shapes using proxy variables and control functions. The estimation results reveal a statistically significant relationship between physical appearance and family income and that these associations differ across genders. This supports the hypothesis on the physical attractiveness premium in labor market outcomes and its heterogeneity across genders.

Cited by 6Open access

Child body shape measurement using depth cameras and a statistical body shape model

Byoung-Keon Park, Julie C. Lumeng, Carey N. Lumeng et al. · Ergonomics · 2014

We present a new method for rapidly measuring child body shapes from noisy, incomplete data captured from low-cost depth cameras. This method fits the data using a statistical body shape model (SBSM) to find a complete avatar in the realistic body shape space. The method also predicts a set of standard anthropometric data for a specific subject without measuring dimensions directly from the fitted model. Since the SBSM was developed using principal component (PC) analysis, we formulate an optimisation problem to fit the model in which the degrees of freedom are defined in PC-score space. The mean unsigned distance between the fitted-model based on depth-camera data and the high-resolution laser scan data was 9.4 mm with a standard deviation (SD) of 5.1 mm. For the torso, the mean distance was 2.9 mm (SD 1.4 mm). The correlations between standard anthropometric dimensions predicted by the SBSM and manually measured dimensions exceeded 0.9.

Cited by 33