Human Body Dimensions Research Articles

Stature Estimation by Index and Ring Finger Length

Background: A series of systemized techniques of measuring quantitatively the dimensions of human body and skeleton is called as Anthropometry and it is often viewed as traditionally the basic tool for biological anthropology and it has a long traditional use in forensic sciences and its findings has increased its use in medical sciences specifically in speciality of Forensic Medicine. Aim and objective: To find out correlation between Index and Ring finger length with stature of the individual and to devise a linear regression equation to determine stature from Index and Ring finger length. Type of Study: Descriptive cross sectional study with analytical and comparative components. Place of Study: Department of forensic medicine and Toxicology Narayana Medical College, Nellore District of Andhra Pradesh State. Material and Method: Stature: using the stadio-meter, the subject was made to stand barefoot in the standard standing position on its baseboard. The length of the Index and ring fingers was measured fromproximal crease to the tip. Observation and Discussion: The Mean±SD age of study samples was 21.41 ± 2.1years. There was no significant difference between themean age of the two genders (P>0.001). Accordingly the Mean±SD height was 164.62 ± 8.56cm intotal cases, 168.12 ± 7.6 cm in males, and 161.1 ± 8.01cm in females, which differed significantly (P<0.0001).The Mean±SD lengths of index and ring fingers were6.55 ± 0.48 cm and 6.6 ± 0.51 cm in total samples,6.72 ± 0.52 cm and 6.78 ± 0.55 cm in males, and6.37 ± 0.37 cm and 6.42 ± 0.38 cm in females, respectively. Conclusion: In our study there exists a significant and positive correlation between stature and Index and ring finger length between both the sexes indicating strong and reliable relationship between the parameters.

Potential Application of Temporal 3D (4D) Scanning to Ergonomic Design: State-of-the-art and its Perspectives

Objective: This study aimed to provide a comprehensive review of literature on 3D and 4D scanning technologies and potential applications of 4D scanning techniques in ergonomic product design.<BR><BR>Background: Dynamic anthropometric data is needed to consider the changes of human body dimensions while using a product in the product design process.<BR><BR>Method: A literature review was conducted on 34 papers which were selected by the process of title screening, abstract screening, and full text screening. <BR><BR>Results: 3D scanning techniques can be classified into three catalogs: laser, structured light, and stereo photogrammetry. Though still challenging, 4D scanning systems self-built or commercialized have been developed. 4D scanning systems have been applied to understanding foot-shape changes and foot kinematics during walking, analyzing human facial movements, and evaluating the fit of sportswear design.<BR><BR>Conclusion: 4D scanning systems have great potential in design and evaluation of ergonomic products.<BR><BR>Application: The literature survey results can be of help to understand 4D scanning systems and their applicability in ergonomic design and evaluation.

Basic Human Body Dimensions Relate to Alcohol Dependence and Predict Hospital Readmission.

Alcohol dependence is a severe mental illness and there is a need for more effective preventive and therapeutic strategies. Translational research suggests that intrauterine sex hormone exposure modulates the risk and course of alcohol dependence during adulthood. During development, sex hormones permanently shape sexually dimorphic body dimensions. Thus, these dimensions may provide insight into sex hormone organization. Here, we compared body measurements (absolute, relative to, and residualized on height) between 200 alcohol-dependent in-patients and 240 age-matched healthy control subjects and investigated how these measurements associate with the patients’ prospective 12- and 24-month outcome. The results show that alcohol dependence is related to lower absolute, relative, and residualized body measurements for height and weight, head circumference, bitragion head arc, lip-chin distance, hip, thigh, and calf circumference, and foot length and breadth. In male alcohol-dependent in-patients, higher risk, shorter latency, and more alcohol-related readmissions were predicted by higher absolute, relative, and residualized thigh and calf circumferences. The second-to-fourth finger length ratio, a putative proxy for prenatal sex hormone organization, was not convincingly correlated with the body dimensions, suggesting that the results represent pubertal (or later) effects. The study’s findings have implications for further research. The body measurements’ high accessibility may facilitate the future transition into clinical settings.

Digital Anthropometer Development for Improving the Measurement Quality of Human Body Dimensions

Digital information technology has become the nerve of information for industry-based companies. However, there are still data or information that retrieved manually, one of them is measurement of the human body dimension. The problem is seemed solved by invention of digital anthropometer application. Yet, the application requires a further improvement especially in its accuracy and user interface. The improvement of accuracy quality of its measurement uses the capability process analysis method. As a result, the current Cp and Cpk is 0.26 and -0.209 while in the developed application is 2.56 and 1.218. Thus, the developed application is stated that quality of measurement increases to meet the criteria of good process capability. The user interface is improved based on the user voices. Data storage databases and percentile calculation in the application was added as one on the significant user-interface improvement.

An anthropometric study for the anthropomorphic design of tomato-harvesting robots

To explore how humans can dexterously pick fruits of various sizes from a tomato plant from different positions and postures, some anthropometric dimensions related to the hand-harvesting of the fruits were determined within 261 volunteers, and their correlations were investigated using a bivariate correlation analysis method. The heights of the body (stature), shoulder tip, waist and knee of participants ranged from 111.2 to 193.6, 87.5 to 163.0, 62.1 to 117.3, and 31.0 to 56.0 cm, respectively; the ratios of the knee height, waist height, and shoulder tip height to the stature were 0.25–0.33, 0.52–0.65, and 0.76–0.87, respectively; the shoulder tip breadth, upper limb length and foot length of participants ranged from 26.0 to 48.5, 45.4 to 85.6, and 19.5 to 28.0 cm, respectively; and the length ratios of the hand, forearm, and upper arm to the upper limb were 0.23–0.31, 0.29–0.38, and 0.35–0.45, respectively. There were high linear correlations among the stature, waist height and knee height, between the forearm and hand lengths, and among the stature, hand length and arm length and moderate linear correlations between most hand dimensions. These human body dimensions determine the upper limb workspace, body balance, working comfort and lower limb movement frequency during picking, and this information will be useful for the bionic dimensional synthesis design of a harvesting robotic arm, walking mechanism and body. The results of multiple comparisons in ANOVA showed that there were significant differences between some of the finger dimensions and between some of the hand-scaling dimensions, which is one of the main features enabling the human hand to pick various sizes of fruits. This study can provide guidance and inspiration for the anthropomorphic design of robotic tomato-harvesting end-effectors.

Use of Variators in Applying the Cost Calculation Methodology in Small and Medium Furniture Enterprises Based on Changes in Human Body Dimensions

Based on the research of anthropometric measures of Slovak adult population, it can be observed that during the last 25 years, anthropometric data have been rising by about 4.5-5 % in most analysed characters. As data on human body dimensions changes, the requirements for material consumption and production time, expressed by the rate of labour cost, are changing. In this context, sustainable profitability of the company can be achieved through each segment of a value chain. One of these segments is the product and its price, which is based on costs allocated in the system of full or variable costing. As the value of quantiles characteristics of anthropometric characters was used to create ergonomic, health and construction norms and standards in the furniture industry, it is necessary to review the adequacy of existing standard-size single bed. Since the dimensions of single bed are standardised, 200 cm x 90 cm or 200 cm x 100 cm, it is clear that due to the secular trend of anthropometric measure of a man, the dimensions are currently inadequate. This paper presents the use of variators when applying the most commonly used absorption costing in small and medium furniture enterprises. It shows the costs involved, when the input parameters are changed.

Estimating Human Body Dimensions Using RBF Artificial Neural Networks Technology and Its Application in Activewear Pattern Making

Nowadays, the popularity of the internet has continuously increased. Predicting human body dimensions intelligently would be beneficial to improve the precision and efficiency of pattern making for enterprises in the apparel industry. In this study, a new predictive model for estimating body dimensions related to garment pattern making is put forward based on radial basis function (RBF) artificial neural networks (ANNs). The model presented in this study was trained and tested using the anthropometric data of 200 adult males between the ages 20 and 48. The detailed body dimensions related to pattern making could be obtained by inputting four easy-to-measure key dimensions into the RBF ANN model. From the simulation results, when spreading parameter σ and momentum factor α were set to 0.012 and 1, the three-layer model with 4, 72, and 8 neurons in the input, hidden, and output layers, respectively, showed maximum accuracy, after being trained by a dataset with 180 samples. Moreover, compared with a classic linear regression model and the back propagation (BP) ANN model according to mean squared error, the predictive performance of the RBF ANN model put forward in this study was better than the other two models. Therefore, it is feasible for the presented predictive model to design garment patterns, especially for tight-fitting garment patterns like activewear. The estimating accuracy of the proposed model would be further improved if trained by more appropriate datasets in the future.

Associate Design of Fashion Sketch and Pattern

Currently, the work of pattern making and fashion sketch drawing is done by designers and pattern makers, respectively. The development of satisfactory garment products requires constant communication between designers and pattern makers. This process is very time-consuming. In this paper, we proposed a body-dimension-based associate design method to integrate fashion sketch drawing and pattern making. First, we accorded dimensions to fashion sketches so that fashion sketches and their corresponding patterns can be associated together by human body dimensions. Then, in the height and width directions, we constructed mathematical models considering fashion sketches, their corresponding patterns and human body dimensions. Finally, a software application based on our proposed method was developed to generate jean fashion sketches and their corresponding patterns, rapidly and automatically. The associated design of fashion sketches and garment patterns in this paper demonstrates the integration of artistic design and engineering design. This novel research idea can be further applied in other design domains.

ПАРАМЕТРЫ ТЕЛА ЧЕЛОВЕКА В МОЛОДЕЖНОМ ЖАРГОНЕ (НА МАТЕРИАЛЕ РУССКОГО, НЕМЕЦКОГО И ФРАНЦУЗСКОГО ЖАРГОНОВ)

The article is devoted to a topical issue of modern linguistics - the systemic comparative study of substandard vocabulary and phraseology for revealing the national peculiarities of the linguistic worldview. The human body dimensions, represented in Russian, German and French youth jargon, are considered. The classification of the language material by the main dimensions of the human body (height, size) is presented. As a result of the analysis of cognitive metaphors, the figurative component of slang words is considered, similarities and differences in the representation of the human body at the repertory, quantitative levels are identified.

A RE-DESIGN PROJECT: CORRECTION OF AN OUTDOOR FITNESS EQUIPMENT’S DESIGN ACCORDING TO ITS USERS’S ANTHROPOMETRIC AND BIOMECHANICAL DATA

The aim of this study is to determine the anthropometric measurements of the users of outdoor fitness equipment and to re-design of an in-use outdoor fitness equipment according to these measurements. A total of 100 (50 male and 50 female) outdoor fitness equipment users, living in Eskisehir, Turkey, voluntarily participated in the study. Their ages ranged from 18 to 79 years and the mean of their ages were 31,2 (SD: 1,15277). The following human body dimensions were measured: stature, shoulder height, side-arm reach, fist (knuckle) height, forearm length, upper arm length, shoulder-fingertip length, knee height, malleolus height and hand length. The anthropometric measures of the adults and the outdoor fitness equipment’ dimensions were compared in order to identify any incompatibility between them. The data indicated a mismatch between the adults’ bodily dimensions and the outdoor fitness equipment available to them. Later on, in use fitness equipment’s motion output compared with biomechanical limits. Also, a mismatch was found between the motion output and biomechanical limits which might cause injuries. As these mismatches endanger public health, an outdoor fitness equipment, FE02 Stepper was re-designed according to its users’ anthropometric data and biomechanical limits as an example.

Age specific sex differences in BMI and skin fold thickness among children of Kazaure Emirate, Nigeria

An important phenomenon occurring in human population is the variation in their physical morphology. The physical dimensions of human body are influenced by geographical, racial, age and gender factors. Physical anthropometry provides the technique by which human body dimensions can be evaluated and measured. The aim of the study was to determine age specific sex differences in height, weight, BMI and skin fold thickness among children aged 5- 12 years from Kazaure emirate, Jigawa State, Nigeria. The objective of the study was to investigate sexual dimorphism in the measured variables. A total of 1212 primary school pupils aged 5-12 years (659 males and 553 females) were involved. All the anthropometric variables were taken using standard protocols. An independent t-test was used to determine gender differences using SPSS version 20.0and P ≤ 0.05 considered a level of significance. The results showed a significant gender difference in height and weight at age of 8 years (P = 0.009) and (P< 0.001), respectively. For bicep skin fold thickness (BSF), the gender difference was observed at 7 to 12years of age with (P< 0.001). Similar pattern in triceps TSF) and suprailiac (SISF), showed significant difference at age six (P< 0.001) and (P =0.01), respectively. All ages showed differences in subscapular skin fold thickness (SSF)(P< 0.001). In the SSF, female had higher mean value while for height and weight the reverse trend was the case. In conclusion, the gender differences in SSF may be linked with higher adipose tissue in female than in the male counterparts in childhood. Keywords: Anthropometry, BMI, Skin fold thickness, age, sex, Nigeria

Parametric design of garment flat based on body dimension

Garment flats have a wide application in product development production and designing stages. However, the traditional drawing methods of garment flat are very time-consuming, and need professional drawing skills. In this paper, a parametric design method was proposed based on body dimension to draw garment flats. The relations among human body, flats and garment show that a garment flat has a close relation with human body and real garment. Graphic analysis shows that a garment flat is constrained by two kinds of parameters: geometric and dimensional parameters. Then, the parametric relation model between garment flat and human body dimensions was constructed. According to the parametric relation model, all the dimensions of a garment flat can be represented by several dimensional parameters and style parameters. Finally, an application program (JFRS, 2016) based on the proposed method was developed to generate garment flats. The result shows that the proposed method is more effective than traditional methods. Moreover, the engineering design methods have been successfully applied to improve design efficiency in artistic design in this research. This is a novel research idea in the field of fashion design, and could be further applied in other design domains.

Using a 3D Body Scanner in Designing Compression Products Supporting External Treatment

The work comprises a statistical tolerance analysis of human body dimensions using a 3D body scanner and its impact on the value of unit pressure exerted by a compression product on the subject’s body. Model calculations of changes in unit pressure due to the susceptibility of the human body were carried out on the basis of the Laplace law using experimentally determined values of circumferences of particular parts of a female subject, with and without a compression product. Experimentally documented changes in the body circumferences under the influence of a compression garment are one of the reasons for the differences between the intended and actual pressure value exerted by the product.

Automatic measurement of anthropometric dimensions using frontal and lateral silhouettes

Anthropometric dimensions, such as lengths, heights, breadths, circumferences and their ratios are highly significant in healthcare, security, sports, clothing, tools and equipment industry. In this study, an automatic and precise method for anthropometric dimensions of human body using two‐dimensional images is proposed. The dimensions are obtained by using fiducial points that are detected from frontal and lateral views of body silhouettes. Primary anthropometric dimensions, which include heights, breadths, depths and lengths, are obtained by calculating the difference between two relevant fiducial points. The secondary dimensions: ratios are obtained directly from primary dimensions, and circumference dimensions are estimated precisely using ellipsoid model. A total of 75, i.e. 51 primary and 24 secondary dimensions are obtained, which are three times the number acquired by the state‐of‐the‐art method. The accuracy of acquired dimensions is verified by comparing it with the manual measurements by using the standard parameter of maximum allowable error. It is found that mean absolute difference of all the dimensions, obtained by the proposed method, lie within the limits of maximum allowable error. More importantly, the mean absolute difference for the majority of dimensions (20 out of 24) is significantly less for proposed method as compared with the best method in existing literature.

Human Action Recognition Utilizing Variations in Skeleton Dimensions

This paper presents a human action recognition system that distinguishes between different actions using a new set of features based on global variation in the visual appearance of the subject body. The proposed technique utilizes the changes in human body dimensions, during performing an action, to extract this feature set. These dimension variations are calculated from the human body skeleton performing the action to be recognized. The technique can process both 2D and 3D camera videos due to the high-level nature of the extracted features where the skeleton can be extracted from a video captured using traditional 2D cameras or depth sensing cameras. Finally, a multi-class linear support vector machine is employed in the classification stage. Experiments are conducted on Weizmann, Berkeley MHAD, and MSR-Action3D datasets. The results show that the technique achieves an accuracy of 98.9% for Weizmann, 99.63% for Berkeley MHAD, and 94.3% for MSR-Action3D. Moreover, a cross-dataset experiment is held to ensure the generality of the proposed technique, where the system is trained using Berkeley MHAD dataset and tested using MSR-Action3D, which achieved 88.76% accuracy. Moreover, a novel approach for handwriting actions recognition that depends on hands tracking is presented. This approach achieved an accuracy of 100%, and it can be considered an application for the proposed technique.

The Method of Product Design Based on the User Life Cycle Design

With the influence of rational consumption and low carbon life, people like high-quality and durable products. Now some products are not fit for the varied requests of children, pregnant and other people .So the theory of the user life cycle design (ULCD) is proposed in this paper. Four kinds of ULCD design methods are summarized. Those are design methods of alternations in human body dimension, motor function, human cognition and synthetical functions. The ULCD process is described in this paper. So the method of decision-making is explained in the process of ULCD and proved by the case of baby product.

Construction of a prediction model for body dimensions used in garment pattern making based on anthropometric data learning

Using artificial intelligence to predict body dimensions rather than measuring them physically is a new research direction in apparel industry. If implemented, this technology can reduce costs and improve efficiency. In this paper, we proposed a back propagation artificial neural network (BP-ANN) model to predict pattern making-related body dimensions by inputting few key human body dimensions. In order to construct the proposed model, anthropometric measurements of 120 young females from the northeastern region of China were collected. The data were then used for training and the proposed model. The results showed that the prediction of the developed BP-ANN model is more accurate and stable than that of linear regression (LR) model. As great as the LR model was at pattern making, the BP-ANN model is even better. In the future, the precision of the proposed model can be further improved if the size of the learning data increases. The proposed method can be especially useful in making garment pattern for form-fitting clothing.

O rzeczywistości ciała ludzkiego

“Body” is here understood prima facie as biological, organic body (Körper). This article claims, that ignoring this aspect of human being is wrong, because many important anthropological and existential phenomena are based on reality of Körper, not only Leib. “Reality” of human body is understood as a constitutive element of a human being’s essence, without which one cannot be a human. First were presented Heidegger’s critique of philosophical anthropology and concept of animalitas. According to the author of Being and Time, referring to biological corporeality is secondary to fundamental ontology. This article criticizes Heidegger and claims, that many phenomena indicated by him are primary understandable only by paying attention to organic dimension of human body, dimension underestimated by Heidegger. Then, a number of „existentialist” aspects of human life were presented, and their consideration confirms that it is impossible to gain insight on a human if his corporeal dimension is ignored.

Role of Anthropometric Dimensions of Human Body in Identifying Temperament in Traditional Persian Medicine

Role of Anthropometric Dimensions of Human Body in Identifying Temperament in Traditional Persian Medicine

Current state of the art and enduring issues in anthropometric data collection

&lt;p&gt;El estudio del tamaño y la forma del cuerpo humano ha sido un tema de investigación durante un tiempo muy largo. En el pasado, la antropometría utilizó técnicas de medición tradicionales para registrar las dimensiones del cuerpo humano y reportó la variación en las dimensiones del cuerpo en función de la media y la desviación estándar. Hoy en día, el estudio de las dimensiones del cuerpo humano se puede llevar a cabo utilizando maneras más eficientes, como los escáneres tridimensionales del cuerpo, que pueden proporcionar grandes cantidades de datos antropométricos más rápidamente que las técnicas tradicionales. En este trabajo se presenta una descripción de la amplia gama de temas relacionados con la recogida de datos antropométricos utilizando escáneres tridimensionales del cuerpo, incluyendo los diferentes tipos de tecnologías disponibles y sus implicaciones, el proceso de digitalización estándar necesario para la captura efectiva de datos, y las posibles fuentes de los errores de medición que podrán afectar la fiabilidad y validez de los datos recogidos.&lt;/p&gt;