Investigation of chest girth and height variation affecting other body dimensions for men’s upper body clothes pattern grading

2019 ◽  
Vol 31 (3) ◽  
pp. 415-430 ◽  
Author(s):  
Hyunsook Han
Keyword(s):  
The Body ◽  
Upper Body ◽  
Variation Analysis ◽  
Body Dimension ◽  
Data Set ◽  
Body Dimensions ◽  
Content Type ◽  
Pattern Grading ◽  
Size Groups ◽  
Chest Girth

Purpose The purpose of this paper is to investigate the chest girth and height related to men’s upper body dimensions to develop men’s grading system for semi-customized clothing. Design/methodology/approach A data set of the 3,012 men between the age group of 18 and 59 years from 6th Size Korea was used in this study. The men’s upper body dimensions were tested in terms of five horizontal lengths, seven circumferences and seven vertical lengths. Experiment and data analysis were carried out with two methods: one is multiple linear regression with chest girth and height as each independent variable and the other is calculating variation among chest girth size groups and height size groups, respectively. Findings Regression analysis showed that some horizontal lengths are affected not only by chest girth, but also by height, and some vertical lengths are affected not only by height, but also by chest girth. In variation analysis it was found that the variation value for each part of the body is different and it was observed that with an increase in chest girth vertical length also increases. In variation analysis of height, it is found that some horizontal body dimensions and hip girth increase with an increase in height. In the comparison of upper body dimension variation among height groups with the size based on the chest girth, we found that a tall person who already has long vertical length is less affected by the increase in dimensions by increases in their horizontal girth than a short person. Originality/value The findings showed detailed numerical body shape changes according to chest girth and height, and it may be used as the basis for determining pattern grading values by chest girth or height.

Twitter users exhibited coping behaviours during the COVID-19 lockdown: an analysis of tweets using mixed methods

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruchi Mittal ◽  
Wasim Ahmed ◽  
Amit Mittal ◽  
Ishan Aggarwal
Keyword(s):  
Data Analysis ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Twitter Data ◽  
Long Run ◽  
The World ◽  
Twitter Users ◽  
The Government ◽  
Using Data

Purpose Using data from Twitter, the purpose of this paper is to assess the coping behaviour and reactions of social media users in response to the initial days of the COVID-19-related lockdown in different parts of the world. Design/methodology/approach This study follows the quasi-inductive approach which allows the development of pre-categories from other theories before the sampling and coding processes begin, for use in those processes. Data was extracted using relevant keywords from Twitter, and a sample was drawn from the Twitter data set to ensure the data is more manageable from a qualitative research standpoint and that meaningful interpretations can be drawn from the data analysis results. The data analysis is discussed in two parts: extraction and classification of data from Twitter using automated sentiment analysis; and qualitative data analysis of a smaller Twitter data sample. Findings This study found that during the lockdown the majority of users on Twitter shared positive opinions towards the lockdown. The results also found that people are keeping themselves engaged and entertained. Governments around the world have also gained support from Twitter users. This is despite the hardships being faced by citizens. The authors also found a number of users expressing negative sentiments. The results also found that several users on Twitter were fence-sitters and their opinions and emotions could swing either way depending on how the pandemic progresses and what action is taken by governments around the world. Research limitations/implications The authors add to the body of literature that has examined Twitter discussions around H1N1 using in-depth qualitative methods and conspiracy theories around COVID-19. In the long run, the government can help citizens develop routines that help the community adapt to a new dangerous environment – this has very effectively been shown in the context of wildfires in the context of disaster management. In the context of this research, the dominance of the positive themes within tweets is promising for policymakers and governments around the world. However, sentiments may wish to be monitored going forward as large-spikes in negative sentiment may highlight lockdown-fatigue. Social implications The psychology of humans during a pandemic can have a profound impact on how COVID-19 shapes up, and this shall also include how people behave with other people and with the larger environment. Lockdowns are the opposite of what societies strive to achieve, i.e. socializing. Originality/value This study is based on original Twitter data collected during the initial days of the COVID-19-induced lockdown. The topic of “lockdowns” and the “COVID-19” pandemic have not been studied together thus far. This study is highly topical.

Beyond censorship: politics, teens, and ELA teacher candidates

2017 ◽  
Vol 16 (3) ◽  
pp. 303-318 ◽  
Author(s):  
Denise Dávila ◽  
Meghan E. Barnes
Keyword(s):  
Teacher Candidates ◽  
English Language ◽  
Teacher Education Program ◽  
Research Question ◽  
The Body ◽  
Data Set ◽  
Secondary English ◽  
Content Type ◽  
Political Issues ◽  
Practical Experiences

Purpose Grounded in the scholarship addressing teacher self-censorship around controversial topics, this paper aims to investigate a three-part research question: How do secondary English language arts (ELA) teacher–candidates (TCs) in the penultimate semester of their undergraduate teacher education program position political texts/speeches, interpret high school teens’ political standpoints and view the prospects of discussing political texts/speeches with students? The study findings provide insights to the ways some TCs might position themselves as novice ELA teachers relative to political texts/speeches, students, colleagues and families in their future school communities. Design/methodology/approach Audio-recorded data from whole-class and small-group discussions were coded for TCs’ positioning of political texts/speeches, interpretations of teens’ political standpoints and viewpoints on discussing with students President Obama’s speech, “A More Perfect Union” (“A.M.P.U.”) The coded data set was further analyzed to identify themes across the TCs’ perspectives. Findings The data set tells the story of a group of TCs whose positionalities, background knowledge and practical experiences in navigating divergent perspectives would influence both their daily selection and censorship of political texts/speeches like “A.M.P.U.” and their subsequent willingness to guide equitable yet critical conversations about controversial issues in the secondary ELA classroom. Originality/value In advance of the 2018 midterm elections, this paper considers how the common core state standards’ (CCSS) recommendations to include more nonfiction documents in ELA instruction positions ELA teachers to provide interdisciplinary support in helping students think critically about political issues. It expands on the body of scholarship that, thus far, has been primarily grounded in the research on social studies instruction.

scholarly journals How predation shaped fish: the impact of fin spines on body form evolution across teleosts

2015 ◽  
Vol 282 (1819) ◽  
pp. 20151428 ◽  
Author(s):  
S. A. Price ◽  
S. T. Friedman ◽  
P. C. Wainwright
Keyword(s):  
Evolutionary Dynamics ◽  
Morphological Changes ◽  
Evolutionary Relationship ◽  
Vertical Plane ◽  
The Body ◽  
Body Dimension ◽  
Body Depth ◽  
Body Dimensions ◽  
The Impact ◽  
Fin Spines

It is well known that predators can induce morphological changes in some fish: individuals exposed to predation cues increase body depth and the length of spines. We hypothesize that these structures may evolve synergistically, as together, these traits will further enlarge the body dimensions of the fish that gape-limited predators must overcome. We therefore expect that the orientation of the spines will predict which body dimension increases in the presence of predators. Using phylogenetic comparative methods, we tested this prediction on the macroevolutionary scale across 347 teleost families, which display considerable variation in fin spines, body depth and width. Consistent with our predictions, we demonstrate that fin spines on the vertical plane (dorsal and anal fins) are associated with a deeper-bodied optimum. Lineages with spines on the horizontal plane (pectoral fins) are associated with a wider-bodied optimum. Optimal body dimensions across lineages without spines paralleling the body dimension match the allometric expectation. Additionally, lineages with longer spines have deeper and wider body dimensions. This evolutionary relationship between fin spines and body dimensions across teleosts reveals functional synergy between these two traits and a potential macroevolutionary signature of predation on the evolutionary dynamics of body shape.

A hierarchical method for human concurrent activity recognition using miniature inertial sensors

Sensor Review ◽  
2017 ◽  
Vol 37 (1) ◽  
pp. 101-109 ◽  
Author(s):  
Ye Chen ◽  
Zhelong Wang
Keyword(s):  
Activity Recognition ◽  
Inertial Sensors ◽  
The Body ◽  
Lower Limbs ◽  
Sensor Nodes ◽  
Upper Body ◽  
Accurate Information ◽  
Postoperative Rehabilitation ◽  
Content Type ◽  
Hierarchical Method

Purpose Existing studies on human activity recognition using inertial sensors mainly discuss single activities. However, human activities are rather concurrent. A person could be walking while brushing their teeth or lying while making a call. The purpose of this paper is to explore an effective way to recognize concurrent activities. Design/methodology/approach Concurrent activities usually involve behaviors from different parts of the body, which are mainly dominated by the lower limbs and upper body. For this reason, a hierarchical method based on artificial neural networks (ANNs) is proposed to classify them. At the lower level, the state of the lower limbs to which a concurrent activity belongs is firstly recognized by means of one ANN using simple features. Then, the upper-level systems further distinguish between the upper limb movements and infer specific concurrent activity using features processed by the principle component analysis. Findings An experiment is conducted to collect realistic data from five sensor nodes placed on subjects’ wrist, arm, thigh, ankle and chest. Experimental results indicate that the proposed hierarchical method can distinguish between 14 concurrent activities with a high classification rate of 92.6 per cent, which significantly outperforms the single-level recognition method. Practical implications In the future, the research may play an important role in many ways such as daily behavior monitoring, smart assisted living, postoperative rehabilitation and eldercare support. Originality/value To provide more accurate information on people’s behaviors, human concurrent activities are discussed and effectively recognized by using a hierarchical method.

scholarly journals Body Dimension Measurements of Qinchuan Cattle with Transfer Learning from LiDAR Sensing

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 5046 ◽  
Author(s):  
Lvwen Huang ◽  
Han Guo ◽  
Qinqin Rao ◽  
Zixia Hou ◽  
Shuqin Li ◽  
...  
Keyword(s):  
Deep Learning ◽  
Transfer Learning ◽  
Three Dimensional ◽  
Automatic Measurement ◽  
The Body ◽  
Surface Shape ◽  
Body Dimension ◽  
Qinchuan Cattle ◽  
Body Dimensions ◽  
Deep Model

For the time-consuming and stressful body measuring task of Qinchuan cattle and farmers, the demand for the automatic measurement of body dimensions has become more and more urgent. It is necessary to explore automatic measurements with deep learning to improve breeding efficiency and promote the development of industry. In this paper, a novel approach to measuring the body dimensions of live Qinchuan cattle with on transfer learning is proposed. Deep learning of the Kd-network was trained with classical three-dimensional (3D) point cloud datasets (PCD) of the ShapeNet datasets. After a series of processes of PCD sensed by the light detection and ranging (LiDAR) sensor, the cattle silhouettes could be extracted, which after augmentation could be applied as an input layer to the Kd-network. With the output of a convolutional layer of the trained deep model, the output layer of the deep model could be applied to pre-train the full connection network. The TrAdaBoost algorithm was employed to transfer the pre-trained convolutional layer and full connection of the deep model. To classify and recognize the PCD of the cattle silhouette, the average accuracy rate after training with transfer learning could reach up to 93.6%. On the basis of silhouette extraction, the candidate region of the feature surface shape could be extracted with mean curvature and Gaussian curvature. After the computation of the FPFH (fast point feature histogram) of the surface shape, the center of the feature surface could be recognized and the body dimensions of the cattle could finally be calculated. The experimental results showed that the comprehensive error of body dimensions was close to 2%, which could provide a feasible approach to the non-contact observations of the bodies of large physique livestock without any human intervention.

Impact of service quality and trust on repurchase intentions – the case of Pakistan airline industry

2017 ◽  
Vol 29 (5) ◽  
pp. 1136-1159 ◽  
Author(s):  
Muhammad Abid Saleem ◽  
Sadaf Zahra ◽  
Asif Yaseen
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Airline Industry ◽  
Structural Equation ◽  
The Body ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Data Set ◽  
Content Type ◽  
Repurchase Intentions

Purpose The purpose of this paper is to examine the antecedents of repurchase intentions in the Pakistani airline industry. Though research on repurchase intentions has traditionally focused on service quality and satisfaction, recently scholars have proposed that word of mouth (WOM) and thin Pakistan’s airline industr trust also play a vital role in driving repurchase intentions for all services businesses. Design/methodology/approach The study employs structural equation modeling to examine the hypothesized relationships among antecedents of repurchase intention drawing on a data set of 383 customers listed as “frequent flyer members” within Pakistan’s airline industry. Findings The results revealed that service quality and trust are directly associated with repurchase intentions as well as through the mediator of customer satisfaction. The findings hold important implications for marketers and academics. Originality/value This study makes original contribution to the body of knowledge in the services marketing sector by investigating the effects of service quality and trust through the mediation of customer satisfaction and brand image, and the moderation of WOM factors on predictors of repurchase intention.

Body shape classification and block optimization based on space vector length

2019 ◽  
Vol 31 (1) ◽  
pp. 115-129
Author(s):  
Jie Sun ◽  
Qianyun Cai ◽  
Tao Li ◽  
Lei Du ◽  
Fengyuan Zou
Keyword(s):  
Cross Section ◽  
Human Body ◽  
Body Shape ◽  
The Body ◽  
Upper Body ◽  
Shape Classification ◽  
Content Type ◽  
Vector Length ◽  
Space Vectors ◽  
Three Body

PurposeConsidering two-dimensional features in the body shape classification system cannot fully reflect the three-dimensional (3D) morphological characteristics of human body. The purpose of this paper is to propose a 3D feature based method to characterize and classify the upper body shape of women, and then obtained the corresponding garment block and improved the fitness of clothing.Design/methodology/approachIn this study, the [TC]23D scanner was used to obtain human data, and 15 layers of cross-sections of young females’ upper body were extracted. In total, 240 space vectors were obtained with the center of the bust cross-section as the original point. By using the principal component analysis and K-means clustering analysis, the body shape classification based on the space vectors length was realized. The garment block corresponding to three body types was obtained using the 3D scanning data and the cross-section convex hull, and compared with existing garment block and evaluated fitness of the blocks.FindingsIn total, 11 main components used to characterize the 3D morphological features of young women were obtained, which could explain 95.28 percent features of young women’s upper body. By cluster analysis, the body shape of women was divided into three categories. The block of three body types was obtained by the construction of the convex hull model.Originality/valueThis paper investigates a classification method of the body shape based on space vector length, which can effectively reflect the difference of surface shape of human body and further improve the matching degree of human body and clothing.

Effects of clothing ease and body postures on the air gap and clothing coverage

2019 ◽  
Vol 31 (4) ◽  
pp. 578-594
Author(s):  
Shitan Wang ◽  
Xiuhua Wang ◽  
Yunyi Wang
Keyword(s):  
Air Gap ◽  
The Body ◽  
Upper Body ◽  
Gap Size ◽  
Lower Body ◽  
Content Type ◽  
Body Postures ◽  
Body Regions ◽  
Gap Models ◽  
The Right

Purpose The purpose of this paper is to determine the effects of clothing ease and body postures on the size and distribution of the air gap as well as the body coverage with the clothing. Design/methodology/approach Visual and quantitative analyses were conducted using a 3D body scanner and Geomagic Software. The air gap size and clothing area factor (fcl) in three test coverall and seven selected postures were calculated and compared. Findings The results indicated that both the clothing ease and body postures had a strong effect on the air gap and clothing coverage, especially the more complex the postures, the wider the range of influence. Nevertheless, these effects varied over body regions, being stronger at the lower body than the upper body. The air gap size at the left side of the body was generally larger than the right side. It was also found that the clothing coverage was linearly correlated with the air gap size and could be employed as an indicator to evaluate clothing protective capabilities. Practical implications The findings suggested that greater attention should be paid to the protection and flexibility at the lower body and asymmetrical distribution of the air gap should be considered in the future air gap modeling. Originality/value The outcomes provided useful information to improve the protective clothing and develop more realistic air gap models to simulate the heat and mass transfer.

Classification of body shape characteristics of women's torsos using angles

2010 ◽  
Vol 22 (4) ◽  
pp. 297-311 ◽  
Author(s):  
Wookyung Lee ◽  
Haruki Imaoka
Keyword(s):  
Body Shape ◽  
Three Dimensional ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Body Sizes ◽  
Body Shapes ◽  
Three Body ◽  
Shape Characteristics

PurposeThe purpose of this paper is to classify body shapes using angular defects instead of sizes.Design/methodology/approachA large amount of dimensional data from a national anthropometry survey was analysed, and a basic pattern and its polyhedron were also used to create a three‐dimensional body shape from three body sizes. Using this method, the sizes were converted into nine angular defects.FindingsThe authors could define the factors explaining body shape characteristics and classify the body shapes into four groups. The four groups could be characterised by two pattern making difficulties of the upper and lower parts of the body as well as by two proportions, of waist girth to bust girth and bust girth to back length. Furthermore, depending on the age, the authors could understand body shape by the angle made.Originality/valueUsing a polyhedron model, the angles could be calculated using an enormous existing data set of sizes. An angular defect serves as an index to indicate the degree of difficulty for developing a flat pattern. If an angular defect of the bust is large, it is difficult to make a paper pattern of a bust dart. On the other hand, if an angular defect of the waist is large, it is easy to make a paper pattern of a waist dart. Thus, each body shape could be simultaneously characterized by two difficulty indices and two proportions of sizes.

scholarly journals Determinants of Overall Public Trust in Local Government: Meditation of Government Response to COVID-19 in Indonesian Context

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dadang Hartanto ◽  
Siti Masliana Siregar
Keyword(s):  
Local Government ◽  
Local Governments ◽  
Good Governance ◽  
Public Trust ◽  
Partial Least Square ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Government Response ◽  
The Government

Purpose This study aims to empirically investigate the relationship of perceived transparency, perceived accountability and perceived responsiveness with overall public trust in local government. Moreover, it addressed the “why” and “how” questions about the existence of this relationship by examining the underlying mechanism of the government response to COVID-19. Design/methodology/approach Quantitative research design is applied in the current study. Data was collected from two cities situated in Indonesia via a cross-sectional survey at local administration levels. The final data set of 330 respondents was then analyzed using Smart partial least square (PLS)3 by testing through the measurement and structural model. Findings Results revealed positive associations among the study variables. Also, the mediatory role of the government response to COVID-19 was supported by the results. Originality/value This study aims to bring awareness and contribution in the body of knowledge about the importance of elements of good governance in building and sustaining public trust in local governments based on the fact that in countries such as Indonesia, there is a dearth of literature in this context. Further, it provides strategic and practical suggestions to the state regarding the advantages of using good governance practices in their communication with citizens in certain and uncertain situations, especially nowadays during the COVID-19 pandemic.

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