Analysis on the Application of Image Processing Technology in Clothing Pattern Recognition

A clothing pattern is a significant embodiment of regional culture and national characteristics.The recognition of clothing patterns could be realized objectively and accurately by using digital image processing technology.The researches on the extraction techniques of various pattern elements were compared and analyzed.Then the researches on clothing pattern color,outline and fabric texture extraction were summarized.And the core technology chain model of clothing pattern extraction was constructed.The research status,the core technology and the development trend of pattern element extraction technology based on two-dimensional images were obtained.What’s more,a reference for the follow-up research of clothing patterns and the technology upgrading of textile and clothing industries were provided.

Evaluation of Relationship Between Clothing Pressure of Men's Suit and Comfort

An investigation on relationship between clothing pressure of men's suit and wearing comfort is conducted. With the pressure measurements at different parts of men's suit under normal standing posture and in motion, the objective assessment of the total comfort are related to the subjective ratings of clothing pressure. There is a common strong sensation of pressure on shoulder with normal standing posture, and a strong relationship between total comfort and clothing pressure in back armhole and the front of upper arm with posture in motion.

Study of Adaptive Clothing in Hong Kong: Demands, Analysis and Future Direction

Aging population is substantively increased over last decade and they have specific clothing needs especially for the elderly with disabilities. Their clothing needs to cover functional and aesthetic requirements in order to improve their quality of life. Adaptive clothing is specially designed for the elderly and the disabled. However, there is no public policy to support such the elderly with disabilities in their clothing needs. In this paper, we aim to study the adaptive clothing and its significance, the problems encountered by the elderly with disabilities in adaptive clothing, analysis of public policy in Hong Kong for the elderly with disabilities in adaptive clothing over last decade, and implications and future directions for adaptive clothing in Hong Kong. In our findings, the demand of adaptive clothing in Hong Kong was substantially increased over last decade and the predicted demand will be twice of current demand after 50 years. However, the Government policy in Hong Kong has not yet fully supported their clothing needs, and the non-profit clothing services centre is set up to provide tailoring services to meet their needs. As the capacity of the centre is very limited, it is necessary to expand its capacity through assistive technology and to encourage non-government organizations (NGOs) to establish more social enterprises with Government’s support. Such findings would be beneficial to the Government for strengthening such services for the elderly and the disabled as well as public awareness.

Skin Sensitive Difference of Human Body Sections under Clothing - Multiple Analysis of Skin Surface Temperature Changes

A new researching method on clothing comfort perception is developed.By it the skin surface temperature changes and subjective psychological perception of human body sections stimulated by the same cold stimulation are studied.With the multiple comparison analysis method the changing laws of skin temperature of main human body sections is obtained.

Numerical Estimation of the Thermal Response of Thermal Protective Clothing-Air Gap-Human Skin Micro-system

Thermal protective clothing has been recognized as the primary shielding against emergency fire hazard and inflammable gas leakage. Therefore,the thermal response of human covered with thermal protective clothing under high temperature is the key work to investigate the thermal insulation of thermal protective clothing. A coupling model composed of thermal protective clothing,air gap and human skin is established and the temperature of the micro-system is numerically solved via the finite element method( FEM).Especially,the heat transfer of air gap located between clothing and human skin considering conduction and radiation is established while the human skin layers involve the effect of blood perfusion. Then the effect of thermophysical properties( thermal conductivity and volumetric capacity) of fabric and thickness of fabric and air on the thermal response of the micro-system is elucidated and compared.The results indicate that the volumetric heat capacity of fabric is the key parameter to affect the thermal shielding performance of thermal protective clothing,and the thicker fabric thickness and air gap thickness can improve the thermal protective properties of the micro-system.

Competitive Potential in Clothing Exports for Hong Kong and the Interior of China

Hong Kong and the Interior of China are leading clothing exporters in the world. Together they accounted for nearly 29 percent of the global clothing exports in 1999.The paper is basically divided into two parts. Firstly, it discusses that high world market share is an indicator of competitiveness for the product. From United Nations statistics, it was identified that Hong Kong and the Interior of China were competitive in certain discrete clothing items and a trend was apparent in the production shift of labour intensive clothing items from Hong Kong to the Mainland as witnessed from 1987-1993. With the revised statistical classification system in clothing items released by United Nations, second part of the paper further investigates the broad clothing categories of knitted and woven garments from 1987-1998. It was discovered that Hong Kong was traditionally more competitive in knitted garments while the Interior of China possessed advantages in the manufacture of woven items. Taking the labour cost advantage of the Interior of China and the marketing strengths of Hong Kong, their co-operation for clothing production is considered complementary to each other and able to foster synergistic effects.

Clothing Consumption in Urban China

Based on data gathered through a questionnaire survey with 3,544 respondents in six largest cities in China, the clothing expenditures of Chinese consumers and influential factors are investigated in this paper. It was found that regional differences exist sig nificantly among the cities, possibly due to differences in economy,customs, culture and other factors It was also found that the demographic and soionomic factors including age, gender, marital staus , education level,occupation, and household income have a significant influence on clothing expenditures. Further, the interactive influences of geographic variable with demographic and socioeconomic variables on the clothing expenditures were ex amined. The findings should have useful implications for segmenting Chinese consumers and developing marketing strategies in China.

Re-creation of Chinese Traditional Clothing

On the basis of analysis on both the typical characteristics of Chinese traditional clothing and trendy fashion on present market that is inspired from it,this paper illustrates several re-creation methods of Chinese traditional clothing.These suggestions would push this oriental traditional clothing to a new high in world fashion field and adopted by more and more common people.

Application of FAHP and Artificial Neural Network on Clothing Plant Location

Clothing manufacturers＇ direct investment and joint ventures in developing regions have seen to grow rapidly in the past few decades. Non-optimized selection can contribute to adverse effects affecting the performance of the plants on aspects of productivity, manufacturing and logistics cost. Selection of proper plant location is thus crucial. The conventional approaches to sites location are based on the factors and their weights. However, determining the weight of each factor is very difficult and time consuming. While the situation is changed, all the work must be redone again. This study aims to develop a decision-making system on clothing plant location for Hoog Kong clothing manufacturer. The proposed system utilizes artificial neural network to study the relationship between the factors and the suitability index of candidate sites. Firstly, the factors are stratified using the fuzzy analytical hierarchy process （FAHP） by review the related references and interviewing the experts. Secondly, the corresponding data are collected from the experts by questionnaire and the related government publication. Finally, the feedforward neural network with error backpropagation（EBP） learning algorithm is trained and applied to make decision. The results show that the proposed system performs well and has the characteristic of adaptability and plasticity.

Current Situation and Development Trend of Regional Clothing Color

This paper applied the method of literature survey to study the current situation of regional clothing color in China and foreign countries,and it summarized the relevant theories in this field. The deficiencies and losses of the research on regional clothing color in the area of current academic circles were pointed and the development trend of regional color culture in the future clothing design was proposed. The study showed that the research on the regional clothing color has a great theoretical and application significance,and it fits for the present idea of traditional heritage and regional culture dissemination.

Clothing Needs for Wheelchair Users: A Systematic Literature Review

The aim of this study was to identify the clothing needs of wheelchair users using relevant literatures in a global scale and to design a method to classify the clothing needs into a unified system, in order to generate a map of wheelchair users’ clothing needs with the information from multiple resources. The paper reviewed the previous studies about clothing needs and preference of wheelchair users. A three-tier screening was designed to extract main findings from the relevant literature. Content analysis and statistical analysis were used to integrate the information and identify implications. Information was categorized to represent the attributes of the clothing needs. The paper provides comprehensive insights about the specific barriers and abstract demands about the clothing needs of wheelchair users regarding their preference for apparel products. Eight essential attributes relating to the clothing needs of wheelchair users were identified: functional needs, fit attribute fabric and fiber, safety issue, aesthetic needs, expressive needs, quality of life, and extrinsic attributes. The attributes were classified into two general domains, reflecting the physical challenges and psychological desires of wheelchair users.

Influence Mechanism of Clothing Anchor Features on Consumers'Purchase Intention

Relying on the field of e-commerce live broadcast,the features of clothing anchors are divided into four dimensions:charm features,recommendation features,display features and interaction features.The intermediate variable of social presence is introduced to construct a theoretical model of e-commerce live broadcast consumers'purchase intention.Based on the questionnaire survey data collection,using SPSS 23.0 software and Amos 23.0 software to analyze the data,it is concluded that the features of charm,recommendation,display and interaction of the clothing anchors have a significant positive impact on consumers'purchase intentions.Social presence plays a mediating role in the influence of the features of charm,recommendation,display and interaction on consumer'purchase intention.

Influence of Clothing Fabrics on Skin Microcirculation

This study investigated the effects of clothing fabric on human skin microcirculation.Once skin is covered with a clothing fabric,human sensations,namely,coolness,warmth,softness,and roughness,are aroused immediately,and the cutaneous microcirculation may be changed consequently.Since the complex relationships of the human skin,the environment,and the clothing,there is few publication focusing on the physiological responses of the skin to the fabrics.In this paper,a Laser Doppler Flowmetry(LDF)was used to test the dynamic responses of the skin blood flow when the fabric was placed on the skin.Effects of different fabrics on the skin blood flux were investigated.The results show that cold stimulation of fabric has remarkable influences on the skin blood flux,and the surface properties of fabric are of importance to affect the human skin blood flow.

The development of anti-fall functional clothing for elderly

Objective:The consequences of falls in the elderly are severe,ranging from skin abrasion to hip fracture,which is very easy to cause death.Using advanced technology to develop anti-fall clothing that meets the needs of the elderly can play a significant role in protecting the elderly.By reviewing and analyzing the existing literature on the importance of fall protection clothing in reducing falls and protecting the body of the elderly,it is hoped to explore further research that needs improvement.Methods:Guided by the preferred reporting items for systematic reviews and meta-analyses,eight related studies were identified through Web of Science,Scopus and Chinese National Knowledge Infrastructure.The research objects,approaches,material and equipment,protection principle,and survey results are extracted.Results:Two articles verified the fall detection algorithm adopted in the research through experiments,which significantly improved fall detection accuracy.Six papers found that selecting appropriate cushioning materials can effectively reduce the consequences of falls of the elderly through experimental comparative analysis.Finally,three attributes for significant design value are drawn:(1)size and fit;(2)cushioning materials;(3)wearable sensing elements.

Positive-Negative Emotional Categorization of Clothing Color Based on Brightness

In current study, behavioral measures were conducted to investigate clothing color. The purpose was to focus on the rule that color brightness influencedpositive-negative emotional categorization. Results showed that the effect of brightness on clothing color emotion categorization was significant. With the increase of brightness, the variation curve of positive emotion appears to be a “U-shaped”, whereas that of the negative emotion shows an upside down “U-shaped”. Compared with the low brightness colors, the emotion reaction to the high brightness colors was more positive;Most of the colors with different brightness scales were classified as positive emotions and the minors were classified as negative emotions;the positive colors could be done much faster than the negative ones.

Fabricating a smart clothing system based on strain-sensing yarn and novel stitching technology for health monitoring

Various yarn-shaped flexible strain sensors have recently been developed.However,research is lacking on additive manufacturing for smart clothing for integrating yarn sensors with commercial garments.Herein,a strain-sensing yarn is sewn into a piece of fabric through a novel stitching technique,and the influence of the stitching method and needle pitch on the sensing performance is investigated using finite element analysis(FEA).The sensing performance could be improved when the sensing yarn is self-locked in the fabric at the needle eyes,and the needle pitch was reduced to 0.5 cm,which is attributed to the enhanced stress and strain concentration.Meanwhile,the composite sensing fabric featured outstanding performance,including a low detection limit(0.1%),rapid response(280 ms),excellent durability(10000 cycles),and high stability(negligible drift and frequency independence).In addition,the remarkable wear resistance,washability,and anti-interference to ambient humidity and perspiration were obtained.Therein,the optimal stitch trace lengths of sensing yarn for detecting elbow motion,breathing,and heartbeats are discussed.Finally,a smart clothing system composed of smart clothing,data acquisition unit,and mobile APP was developed to simultaneously detect human movement and physiological signals.This work provides a reference to produce intelligent garments based on yarn sensors for health monitoring.

Superabsorbent Fibers for Comfortable Disposable Medical Protective Clothing

Disposable medical protective clothing for 2019-nCoV mainly consists of stacked layers with nanopore films,polymer coated nonwoven fabrics and melt-blown nonwoven fabrics against anti-microbial and anti-liquid penetration.However,such structures lack moisture permeability and breathability leading to an uncomfortable,stuffy wearing experience.Here,we propose a novel medical protective clothing material with a superabsorbent layer to enhance moisture absorption.Poly(acrylic acid-co-acrylamide)/polyvinyl alcohol superabsorbent fibers(PAAAM/PVA fibers)were prepared via wet spinning.And the superabsorbent composite layer was stacked from PAAAM/PVA fibers,bamboo pulp fibers(BPF)and ethylene-propyl-ene side by side fibers(ESF).The novel disposable medical protective composite fabric was obtained through gluing the superabsorbent layer to the inner surface of strong antistatic polypropylene nonwoven fabric.The resultant composite fabric possesses excellent absorption and retention capacity for sweat,up to 12.3 g/g and 63.8%,and a maximum hygroscopic rate of 1.04 g/h,higher than that of the conventional material(only 0.53 g/h).The moisture permeability of the novel material reached 12,638.5 g/(m^(2) d),which was 307.6%of the conventional material.The novel material can effectively reduce the humidity inside the protective clothing and significantly improve the comfort of medical staff.

蚕丝基生物材料精准和功能性组装的3D打印策略

In recent years,significant progress has been made in both three-dimensional(3D)printing technologies and the exploration of silk as an ink to produce biocompatible constructs.Combined with the unlimited design potential of 3D printing,silk can be processed into a broad range of functional materials and devices for various biomedical applications.The ability of silk to be processed into various materials,including solutions,hydrogels,particles,microspheres,and fibers,makes it an excellent candidate for adaptation to different 3D printing techniques.This review presents a didactic overview of the 3D printing of silk-based materials,major categories of printing techniques,and their prototyping mechanisms and structural features.In addition,we provide a roadmap for researchers aiming to incorporate silk printing into their own work by summarizing promising strategies from both technical and material aspects,to relate state-of-the-art silk-based material processing with fast-developing 3D printing technologies.Thus,our focus is on elucidating the techniques and strategies that advance the development of precise assembly strategies for silk-based materials.Precise printing(including high printing resolution,complex structure realization,and printing fidelity)is a prerequisite for the digital design capability of 3D printing technology and would definitely broaden the application era of silk,such as complex biomimetic tissue structures,vasculatures,and transdermal microneedles.

用于高风险环境安全监测和可调热管理的具有分层核壳结构的耐化学品纱线

Chemical resistant textiles are vital for safeguarding humans against chemical hazards in various settings.such as industrialproduction,chemicalaccidents,laboratory activities,and road transportation.However,the ideal integration of chemical resistance,thermal and moisture management,and wearer condition monitoring in conventional chemically protective textiles remains challenging.Herein,the design,manufacturing,and use of stretchable hierarchical core-shell yarns(HCSYs)for integrated chemical resistance,moisture regulation,and smart sensing textiles are demonstrated.These yarns con-tain helically elastic spandex,wrapped silver-plated nylon,and surface-structuredpolytetrafluo-roethylene(PTFE)yarns and are designed and manufactured based on a scalable fabrication process.In addition to their ideal chemical resistance performance,HCSYs can function as multifunctional stretch-able electronics for real-time human motion monitoring and as the basic element of intelligent textiles.Furthermore,a desirable dynamic thermoregulation function is achieved by exploiting the fabric structure with stretching modulation.Our HCSYs may provide prospective opportunities for the future development of smart protective textiles with high durability,flexibility,and scalability.

Review on Development and Application of Fabric Electrodes in Electrocardiogram Monitoring Garments

Cardiovascular disease persists as the primary cause of human mortality,significantly impacting healthy life expectancy.The routine electrocardiogram(ECG)stands out as a pivotal noninvasive diagnostic tool for identifying arrhythmias.The evolving landscape of fabric electrodes,specifically designed for the prolonged monitoring of human ECG signals,is the focus of this research.Adhering to the preferred reporting items for systematic reviews and meta-analyses(PRISMA)statement and assimilating data from 81 pertinent studies sourced from reputable databases,the research conducts a comprehensive systematic review and meta-analysis on the materials,fabric structures and preparation methods of fabric electrodes in the existing literature.It provides a nuanced assessment of the advantages and disadvantages of diverse textile materials and structures,elucidating their impacts on the stability of biomonitoring signals.Furthermore,the study outlines current developmental constraints and future trajectories for fabric electrodes.These insights could serve as essential guidance for ECG monitoring system designers,aiding them in the selection of materials that optimize the measurement of biopotential signals.