scholarly journals A Matching Degree Management Model of Human Body Shape and Fashion Design Based on Big Data Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Yumei Cui ◽  
Xinqun Feng ◽  
Xinxin Yang
Keyword(s):  
Big Data ◽  
Human Body ◽  
Body Shape ◽  
Body Part ◽  
Management Model ◽  
Fashion Design ◽  
Clothing Design ◽  
Human Body Part ◽  
Input Layer ◽  
Matching Degree

The existing clothing design model lacks the screening link of the human body part index, and the output clothing data are affected by the high correlation coefficient, resulting in large matching errors. Therefore, based on the analysis of human body shape, a management model of matching degree of human body shape and clothing design based on big data is constructed. After processing with big data methods, human body characteristic data used signals as the input layer of a neural network model and the matching degree management model of human body shape and fashion design. The simulation results show that the built-up model has a matching error of less than 5%, which can effectively improve the matching of human body shape and clothing design.

Bio-material human body part (palm fingers) based electronic FET transistor

2012 ◽  
Vol 10 (4) ◽  
pp. 368
Author(s):  
Shiv Prasad Kosta ◽  
Y.P. Kosta ◽  
Jitendra Prasad Chaudhary ◽  
Piyush R. Vaghela ◽  
Harsh Mehta ◽  
...  
Keyword(s):  
Human Body ◽  
Body Part ◽  
Human Body Part ◽  
Bio Material

The effects of obesity on the human body, part I: Skin and musculoskeletal

2020 ◽  
Author(s):  
Graham Dupont ◽  
Stephen J. Bordes ◽  
Stefan Lachkar ◽  
Lauren Wahl ◽  
Joe Iwanaga ◽  
...  
Keyword(s):  
Human Body ◽  
Body Part ◽  
Human Body Part

Parametric Human Body Model for Digital Apparel Design

2013 ◽  
Vol 365-366 ◽  
pp. 121-124
Author(s):  
Shu Xia Wang ◽  
Sheng Feng Qin ◽  
Cong Ying Guan ◽  
Sui Huai Yu
Keyword(s):  
Cross Section ◽  
Human Body ◽  
Body Shape ◽  
Body Part ◽  
The Body ◽  
Human Model ◽  
Body Model ◽  
Key Points ◽  
Cloud Points ◽  
Body Scanner

With the advance in 3D body scanning technology, it opens opportunities for virtual try-on and automatic made-to-measure in apparel products domain. This paper proposed a novel feature-based parametric method of human body shape from the cloud points of 3D body scanner [T2. Firstly, we improved the skeleton construction through adding and adjusting the position of joints. Secondly, automatic extraction approach of semantic feature cross-sections is developed based on the hierarchy. According to the unique distribution of cloud points of each cross-section of each body part, the extraction method of key points on the cross-section is described. Thirdly, we presented an interpolation approach of key points which fit cardinal spline to cross-section for each body part, in which tension parameter is used to represent the simple deformation of body shape. Finally, a connection approach of body part is proposed by sharing a boundary curve. The proposed method has been tested with our virtual human model (VHM) system which is robust and easier to use. The process generally requires about five minutes for generating a full body model that represents the body shape captured by 3D body scanner. The model can be imported in a CAD environment for application to a wide variety of ergonomic analyses.

When romantic love in Gĩkũyũ becomes a human body part

2015 ◽  
Vol 2 (1) ◽  
pp. 79-93 ◽  
Author(s):  
Moses Gatambuki Gathigia ◽  
Ruth W. Ndung’u ◽  
Daniel Ochieng Orwenjo
Keyword(s):  
Human Body ◽  
Cognitive Linguistics ◽  
Body Part ◽  
Body Parts ◽  
Conceptual Metaphor Theory ◽  
Identification Procedure ◽  
Interview Schedule ◽  
Human Body Part ◽  
Metaphor Theory ◽  
Research Assistants

Studies in Cognitive Linguistics show that metaphors are fundamental to the structuring of people’s thought and language (Sweetser 1990; Kövecses 2009). It is against this backdrop that this study discusses human body parts as metaphors of conceptualizing love in Gĩkũyũ. To achieve this objective, an interview schedule was administered to 48 respondents of different gender by the researcher assisted by four research assistants. The Conceptual Metaphor Theory (CMT) and the main principles of the Metaphor Identification Procedure Vrije Universiteit (MIPVU) (see Steen et al. 2010) were used in this study. The principles of the MIPVU were employed to find out whether the lexical items collected were metaphorical or not. Using three annotators and the researcher, the study identified 100 Metaphor Related Words (MRWs) as per the annotation guidelines adapted from the MIPVU procedures and three lexical units which were annotated as Discard From Metaphor Analysis (DFMA). From the MRWs, the study identified eight metaphors of human body parts which play an indispensable role in the conceptualization of love in Gĩkũyũ. Further, the study noted that gender is a vital variable that provides people with the prism through which they view love since males registered more lexical frequencies for LOVE IS A HUMAN BODY PART than females. The study concludes that metaphor in Cognitive Linguistics is not only a creative device, but an important mental facility and cognitive instrument.

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