Research on the Correlation between Body Measurement Data and Pattern Plate Data

2011 ◽  
Vol 175-176 ◽  
pp. 792-796
Author(s):  
Xiu E Bai ◽  
Fei Wang
Keyword(s):  
Human Body ◽  
Production Efficiency ◽  
Information Access ◽  
Measurement Data ◽  
Conversion Function ◽  
Body Measurement ◽  
Knowledge Database ◽  
Constraint Relation ◽  
Garment Fit ◽  
And Storage

The knowledge database of ready-to-wear included the clothing knowledge required in the process from design to manufacture. It is to carry on management and storage of the original trivial clothing knowledge, achieve rapid information access, delivery and response. People hope garment fit their body better, but now garment is produced in bulk. The challenges the company faces is to achieve intelligent pattern making and pattern individuation based on the knowledge database of ready-to-wear.to improve the production efficiency. In this paper, the relation among the different data in the knowledge database of ready-to-wear are studied. The key is how to achieve transforming the human body data, style and craft data to the pattern plate data, and ascertain the constraint relation between body measurement data and pattern plate data. Man’s shirt is taken as an example in this paper. The conversion function and the fitting curve of the back armhole are obtained through analysis of the pattern plate data in order to provide the foundation for achieving the transformation from data information to pattern sketch.

scholarly journals Using a Deep Learning Method and Data from Two-Dimensional (2D) Marker-Less Video-Based Images for Walking Speed Classification

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2836
Author(s):  
Tasriva Sikandar ◽  
Mohammad F. Rabbi ◽  
Kamarul H. Ghazali ◽  
Omar Altwijri ◽  
Mahdi Alqahtani ◽  
...  
Keyword(s):  
Deep Learning ◽  
Human Body ◽  
Walking Speed ◽  
Health Assessment ◽  
Measurement Data ◽  
Classification Model ◽  
Body Measurement ◽  
Two Dimensional ◽  
2D Images ◽  
Indoor And Outdoor

Human body measurement data related to walking can characterize functional movement and thereby become an important tool for health assessment. Single-camera-captured two-dimensional (2D) image sequences of marker-less walking individuals might be a simple approach for estimating human body measurement data which could be used in walking speed-related health assessment. Conventional body measurement data of 2D images are dependent on body-worn garments (used as segmental markers) and are susceptible to changes in the distance between the participant and camera in indoor and outdoor settings. In this study, we propose five ratio-based body measurement data that can be extracted from 2D images and can be used to classify three walking speeds (i.e., slow, normal, and fast) using a deep learning-based bidirectional long short-term memory classification model. The results showed that average classification accuracies of 88.08% and 79.18% could be achieved in indoor and outdoor environments, respectively. Additionally, the proposed ratio-based body measurement data are independent of body-worn garments and not susceptible to changes in the distance between the walking individual and camera. As a simple but efficient technique, the proposed walking speed classification has great potential to be employed in clinics and aged care homes.

Prospect of the Next-Term Human Body Measurement in Japan

2000 ◽  
Vol 44 (38) ◽  
pp. 748-750
Author(s):  
Kazushige Suzuki
Keyword(s):  
Human Body ◽  
Body Shape ◽  
Measurement Data ◽  
Surface Measurement ◽  
Measurement Technology ◽  
Anatomical Landmarks ◽  
Body Parts ◽  
Body Measurement ◽  
Human Engineering ◽  
Quality Life

Research Institute of Human Engineering for Quality Life (HQL) is planning to update the current human body measurement database by collecting new body measurement data, as well as it carries out the following development of measurement technology from 1999 to 2001. I. Development of New 3-D Body Surface Measurement System (1999 ∼ 2001) a. Generation of the super accurate data and reduction of the measuring time b. Measurement of the invisible human body parts c. Extraction of anatomical landmarks II. Development of New Data Format for 3-D Human Body Shape (1999) The human body shape generated from image data has difficulty in comparing data and comprehending distribution. This project aims at conducting the research and development to make the scan result easier to analyze and utilize.

A Simple Unconsolidated Undrained Triaxial Compression Test Emulator

2015 ◽  
Vol 771 ◽  
pp. 104-107
Author(s):  
Riska Ekawita ◽  
Hasbullah Nawir ◽  
Suprijadi ◽  
Khairurrijal
Keyword(s):  
Triaxial Compression ◽  
Measurement Data ◽  
Radial Strain ◽  
Compression Tests ◽  
Viscous Effects ◽  
Axial Pressure ◽  
Strain Stress ◽  
The University ◽  
And Storage ◽  
Triaxial Compression Tests

An unconsolidated undrained (UU) test is one type of triaxial compression tests based on the nature of loading and drainage conditions. In order to imitate the UU triaxial compression tests, a UU triaxial emulator with a graphical user interface (GUI) was developed. It has 5 deformation sensors (4 radial deformations and one vertical deformation) and one axial pressure sensor. In addition, other inputs of the emulator are the cell pressure, the height of sample, and the diameter of sample, which are provided by the user. The emulator also facilitates the analysis and storage of measurement data. Deformation data fed to the emulator were obtained from real measurements [H. Nawir, Viscous effects on yielding characteristics of sand in triaxial compression, Dissertation, Civil Eng. Dept., The University of Tokyo, 2002]. Using the measurement data, the stress vs radial strain, stress vs vertical strain, and Mohr-Coulomb circle curves were obtained and displayed by the emulator.

Measurement and Protection of Human Body Electrostatic of Mobile User Terminal

2013 ◽  
Vol 753-755 ◽  
pp. 2170-2174
Author(s):  
Tian Hai Chang ◽  
Meng Yao Fu ◽  
Pei Pei Yin
Keyword(s):  
Human Body ◽  
Electrostatic Discharge ◽  
Measurement Data ◽  
Mobile User ◽  
Protective Measures ◽  
User Terminal ◽  
Environmental Relative Humidity ◽  
Main Factors ◽  
Parameters Measurement ◽  
Discharge Test

This paper, on the basis of the electrostatic discharge test of mobile user terminals and electrostatic parameters measurement of human body, got electrostatic potential of human body in different condition. The results show that the main factors effecting human body electrostatic are environmental relative humidity, humans dressing, human activities and so on. Then error between the experimental measurement data and the theoretical analysis result are analyzed. Finally proposed some protective measures according to the harm of human body electrostatic to mobile user terminal.

Human Body Measurement Extraction from 2D Images

2021 ◽  
pp. 343-352
Author(s):  
Sachin S. Bhat ◽  
Alaka Ananth ◽  
Preema Dsouza ◽  
K. Sharanyalaxmi ◽  
Shreeraksha ◽  
...  
Keyword(s):  
Human Body ◽  
Body Measurement ◽  
2D Images

scholarly journals Generation of Realistic Virtual Garments on Recovery Human Model

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Yuxiang Zhu ◽  
Yanjun Peng
Keyword(s):  
Human Body ◽  
Template Matching ◽  
Measurement Techniques ◽  
Measurement Data ◽  
Optimization Method ◽  
Human Model ◽  
Spatial Transformation ◽  
Single Image ◽  
Virtual Character ◽  
Fem Model

Displaying a variety of fabrics on a customized character could help customers choose which fabric is more suitable for themselves and help customers choose clothing. However, it is not an easy task to show realistic garment on customized virtual character. As a result, we propose a stable finite element method (FEM) model which is stable to approximate stretching behaviors. At first, we measure four kinds of cloth materials with measurement techniques to research elastic deformations in real cloth samples. Then, we use the parameter optimization method by fitting the model with measurement data. For promoting the display of realistic fabrics, we recover 3D human in shape and pose from a single image automatically. Human body datasets are constructed at first. Then, CNN-based image retrieval in shape and skeleton-based template matching method in pose are combined for 3D human model recovery. To enrich human body details, we synthesize the human body and 3D face with spatial transformation. We compared our proposed method of recovering 3D human from a single image with the state-of-the-art methods, and the experimental results show that the proposed method allows the recovered virtual human to put on garment with different fabrics and significantly improves the fidelity of virtual garment.

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