Intelligent 3D garment system of the human body based on deep spiking neural network

Background Intelligent garments,a burgeoning class of wearable devices,have extensive applications in domains such as sports training and medical rehabilitation.Nonetheless,existing research in the smart wearables domain predominantly emphasizes sensor functionality and quantity,often skipping crucial aspects related to user experience and interaction.Methods To address this gap,this study introduces a novel real-time 3D interactive system based on intelligent garments.The system utilizes lightweight sensor modules to collect human motion data and introduces a dual-stream fusion network based on pulsed neural units to classify and recognize human movements,thereby achieving real-time interaction between users and sensors.Additionally,the system incorporates 3D human visualization functionality,which visualizes sensor data and recognizes human actions as 3D models in real time,providing accurate and comprehensive visual feedback to help users better understand and analyze the details and features of human motion.This system has significant potential for applications in motion detection,medical monitoring,virtual reality,and other fields.The accurate classification of human actions contributes to the development of personalized training plans and injury prevention strategies.Conclusions This study has substantial implications in the domains of intelligent garments,human motion monitoring,and digital twin visualization.The advancement of this system is expected to propel the progress of wearable technology and foster a deeper comprehension of human motion.

Bangladeshi textile and garment sectors defied the global disasters and continued growth

Bangladeshi textile and garment sectors defied the global challenges over the last five years and continued to grow although the growth momentum was not so strong before the COVID-19 pandemic.Before the start of the pandemic,both the textile and garment sectors were growing at a higher rate because of rising demand from the international clothing retailers and brands because of two main reasons including the trade war between USA and China and competitive prices of locally made garment.

Navigating the challenges of Bangladesh's garment industry to reach $100 bn by 2030

The garment industry in Bangladesh is a pivotal sector that drives the country's economy,contributing significantly to its foreign exchange earnings.However,the path to sustaining and growing this industry is fraught with challenges,particularly in the context of order completion,financial management,and secto rwide suppo rt.With the strength of its three pillars,the industry is moving forwa rd with an ambitious vision of achieving a$100 billion export target by 2030.This goal,however,seems impossible without ro bust government support.

Chinese textile and garment exports rebounded in March

According to data released by the General Ad­ministration of Customs on April 13th,China's textile and garment exports stopped falling and rebounded in March,which was more than that in February this year and the same period last year,and the overall export stabilized.

Garment中多态类型的Ideal模型

本文从Ｉｄｅａｌ的基本概念出发，研究了Ｉｄｅａｌ作为类型的语义模型所具有的性质．在类型的Ｉｄｅａｌ模型下，讨论了Ｇａｒｍｅｎｔ中参数化多态类型和约束多态类型的语义．并在此基础上，证明了Ｇａｒｍｅｎｔ中类型规则的语义可靠性．

Washing Defects and Remedial Actions of Denim Garments and Statistical Review of Denim Sectors in Emerging Economy

This paper aimed to identify the washing defects of denim garments and the remedies for these washing defects of denim garments in Bangladesh.The other purpose of this paper is to explain how such errors are related to the waste,production,and production costs of denim clothing.It also provides a statistical review of the denim sector in Bangladesh as compared to other countries.This paper is conveyed based on theoretical and statistical.It appears washing defects of denim garment,and their remedial actions and reveals the effect of washing defects on wastage,production,and production cost of denim garments.This research paper shows more washing defects of denim garments in Bangladesh.The statistical review displays that Bangladesh is exporting denim products nearly 200 million pieces every year over the world and ranks as the second-largest denim garments exporter after China.By studying this paper,the manufacturer of denim garments in Bangladesh and other countries will be conscious of these defects and able to minimize these defects that will help improve the economy all over the world.

DESIGN AND IMPLEMENTATION OF A 3-DIMENSIONAL COMPUTER AIDED GARMENT DESIGN SYSTEM

A 3-Dimensional computer aided garment design (CAGD) system has been developed andimplemented on a high-performance workstation. We studied various approaches to the func-tional modelling of garment designs for the system. According to the characteristic data of a hu-man body, the models of human body and the garment are displayed on the screen, then we canmodify the garment with various styles and different sizes. The system can transform the 3-Dgarment to the 2-D pieces. The system has improved design efficiency. Various potential alterna-tives and improvement of the system have also been studied and explored.

3-D MODELLING OF COMPUTER AIDED GARMENT DESIGN

This paper describes a method of the computer aided garment design,and discusses 3-D humanbody,wire frame modelling,approaches of expressing and a shading model of the 3-D garment.

Network Garment Style Design System with Remote Information Access and Auto-Connecting Technology

A Network Garment Style Design System (NGSDS) is proposed to enable the remote style structure drawing design of garment. After the development of the system structure based on network that consists of client end and server end at two remote places, a multi-layer part database based on Oracle platform is presented to store information of different parts of garment style. With the acquirement of remote design data at server end using Http technology, the style design is ultimately implemented at the client end using Auto-connecting algorithms. One empirical example is given to show the implementation of the NGSDS.

Design and Implementation of Computer-Aid Garment Coordination Tool Using Fuzzy Neural Network

By modeling the decision-making process of garment coordination of fashion designers, a kind of computer-aid garment coordination using fuzzy neural network was propesed. The Takagi Sugeno Fuzzy Neural Network （TSFNN） is used to learn the knowledge and rules of fashion designers on garment coordination and calculate the garment coordination satisfaction index （GCSI）. The implementation of the computer-aid garment coordination tool is divided into two stages. The first stage is to acquire the knowledge of garment coordination. The second stage is to train and use the fuzzy neural network to conduct garment coordination. Three layers structure were also discussed for developing the system. By applying the computer-aid garment coordination tool into a real fushionretailing store, the experimental results show the system pexforms well with choosing a suitable value for screening out the satisfaction coordination pairs.

Air/CO2 cooling garment: Description and benefits of use for subjects exposed to a hot and humid climate during physical activities

The severity of the hot and humid conditions to which miners are exposed increases as the depth of the work site increases.This can cause heat stress that can greatly affect the health and safety of workers.To resolve this,a cooling garment has been developed that uses an atmospheric discharge of liquid CO2 to create a cool microclimate with an average temperature of 12.5(±0.4)℃ beneath the garment.To evaluate the garment's cooling efficiency,19 male subjects participated in an experimental procedure.The two modes,cooling on and off,were compared.Significant physiological differences were found between the two modes after minute 27(p<0.05)until the end of the recovery phase for the heart rate(maximum difference of 10 beats per minute)and the internal body temperature(maximum difference of 0.33℃).It was found that the modes also affected the subjects'perceptions.The ON-mode was associated with better well-being and thermal comfort,and reduced humidity sensation.Perceptions of exertion were lower in the ON-mode condition from minute 2.The findings provide strong evidence of the ability of this cooling garment to reduce heat stress in hot and humid conditions similar to those encountered in deep mines.

Garment中的归约语义

文中用代数方法研究了Ｇａｒｍｅｎｔ中程序设计语言的归约语义，首先给出了归约语义在形式语言理论中的含义，然后提出了Ｇａｒｍｅｎｔ中语言的代数模型．在此代数模型下讨论了归约语义及其性质，并给出了语言可归约的充分条件．

Prediction of the Performance of the Fabrics in Garment Manufacturing by Artificial Neural Network

An artificial neural network is used to predict the performance of fabrics in clothing manufacturing. The predictions are based on fabric mechanical properties measured on the FAST system. The influences of the different ANNs construct on the convergence speed and the prediction accuracy are investigated. The result indicates that the BP neural network is an efficiency technique and has a wide prospect in the application to garment processing.

Towards Optimizing a Personal Cooling Garment for Hot and Humid Deep Mining Conditions

Workers exposed to hot and humid conditions suffer from heat stress that affects their concentration and can potentially lead to an increase in workplace accidents. To minimize heat stress, protective equipment may be worn, such as personal cooling garments. This paper presents and discusses the performances, advantages and disadvantages of existing personal cooling garments, namely air-cooled, liquid-cooled, phase change, hybrid, gas expansion and vacuum desiccant cooling garments, and a thermoelectric cooling technology. The main objective is to identify the cooling technique that would be most suitable for deep mining workers. It appears that no cooling technology currently on the market is perfectly compatible with this type of mining environment. However, combining two or more cooling technologies into a single hybrid system could be the solution to an optimized cooling garment for deep mines.

AHP-Based Optimal Selection of Garment Sizes for Online Shopping

Garment online shopping has been accepted by more and more consumers in recent years. In online shopping, a buyer only chooses the garment size judged by his own experience without trying-on, so the selected garment may not be the fittest one for the buyer due to the variety of body's figures. Thus, we propose a method of optimal selection of garment sizes for online shopping based on Analytic Hierarchy Process (AHP). The hierarchical structure model for optimal selection of garment sizes is structured and the fittest garment for a buyer is found by calculating the matching degrees between individual's measurements and the corresponding key-part values of ready-to-wear clothing sizes. In order to demonstrate its feasibility, we provide an example of selecting the fittest sizes of men's bottom. The result shows that the proposed method is useful in online clothing sales application.

Effects of compression garments on surface EMG and physiological responses during and after distance running

Background:The few previous studies that focused on the effects of compression garments(CG)on distance running performance have simultaneously measured electromyogram,physiological,and perceptual parameters.Therefore,this study investigated the effects of CG on muscle activation and median frequency during and after distance running,as well as blood-lactate concentration and rating of perceived exertion(RPE)during distance running.Methods:Eight healthy male recreational runners were recruited to randomly perform two 40 min treadmill running trials,one with CG,and the other with control garment made of normal cloth.The RPE and the surface electromyography(EMG)of 5 lower extremity muscles including gluteus maximus(GM),rectus femoris(RF),semitendinosus(ST),tibialis anterior(TA),and gastrocnemius(GAS)were measured during the running trial.The blood-lactate levels before and after the running trial were measured.Results:Wearing CG led to significant lower muscle activation(p<0.05)in the GM(decreased 7.40%-14.31%),RF(decreased 4.39%-4.76%),and ST(decreased 3.42%-7.20%)muscles;moreover,significant higher median frequency(p<0.05)in the GM(increased 5.57%)and ST(increased 10.58%)muscles.Wearing CG did not alter the RPE values or the blood-lactate levels(p>0.05).Conclusion:Wearing CG was associated with significantly lower muscle activation and higher median frequency in the running-related key muscles during distance running.This finding suggested that wearing CG may improve muscle function,which might enhance running performance and prevent muscle fatigue.

Review on the Development of Western and Eastern Garment Pattern Design Technique

Due to different cultural and historical background, the technology in Western and Eastern pattern design is inherently different. Along with the development of technology, garment pattern design technique is making progress towards high effectiveness and accuracy. Many researchers proposed different alternative methodologies to improve the current pattern making processes. This article examines the development of Western and Eastern garment pattern design technique. The main objective of this article is to provide a thorough review and hence a better understanding to those researchers who made contribution on developing pattern design technique and continue their work in the future.

Investigation of Different Washing Effects on Physical and Mechanical Properties of Cotton Knitted Garments

This paper deals with three types of washing (enzyme, softener, Silicone) effects on 100% cotton Single Jersey T-shirt, Slub Single Jersey T-shirt, Double Lacoste (5% Lycra) Polo shirt, Single jersey CVC (T-shirt) and PC single Jersey (T-shirt). Typical industrial washing procedures and techniques were followed and then physico-mechanical properties were analyzed under standard condition. It is observed that after washing, weight of each garments has increased from 5% to 36%;stitch length of the constituted fabric has decreased from 1% to 10% approximately;CPI has increased 23% for CVC fabric only for enzyme treatment and for other process it has a little bit or no wash effects. Same effects found for WPI except 100% cotton and Double Lacoste. Shrinkage property both for lengthwise and widthwise remains the same except CVC and Double Lacoste knitted garments and spirality has almost unchanged except 100% cotton and slub fabric. Both the dry and wet rubbing properties have improved after any types of wash except 100% cotton on Silicone wash. Water absorbency property has increased;pH of all the samples is under controlled and lies between 4.5 and 5.0. But there is no significant change of colorfastness to wash and stain after these washing treatments.

Focus Shift in Brand Promotion in China's Garment Industry

After an introduction to the history of brand promotion in China, the paper points out that China＇s garment industry is undergoing the change from branding manufacturing to innovation. The shift is going along with the transition in the industry from comparative advantage to competitive advantage. After analyzing the relationship between independent innovation and brand building with the Smiling Curve, we can get the result that the key to China＇s garment industry is two-fold： brand promotion by means of independent innovation and competitive advantage in the international garment industry chain.

Effect of Garment Pressure on Peripheral Skin Blood Flow(SBF)

To well understand the effect of garment pressure on skin blood flow(SBF) at lower limb,external pressures of various magnitudes were exerted on lower limb in supine or sitting postures respectively using sphygmomanometer.Five male subjects volunteered to participate in this study.An alternating pressure loading protocol between non-pressure and pressure was employed.The SBF was observed by laser flowmeter.No matter the subjects being sitting or supine,SBF obviously increased under low pressure;as the pressure increasing,it turned to decrease.Moreover,while lying supine,SBF turned to decrease under lower pressure than sitting;SBF at calf turned to decrease under lower pressure than at ankle.It was also confirmed that the increment of SBF was obviously higher when the pressure of the same magnitudes was exerted at ankle than at calf.The pressure around 5.32 kPa was confirmed to be a crucial value to SBF.The findings will be helpful in design and application of tight-fit garments.