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 dom...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.展开更多
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 p...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.展开更多
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 frau...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.展开更多
The Garment MTM enables to realize the individual and quick manufacture to meet the development of the per- fectly popular and various garment industry,whose core technology is to produce the individual and digital pa...The Garment MTM enables to realize the individual and quick manufacture to meet the development of the per- fectly popular and various garment industry,whose core technology is to produce the individual and digital pattern,that is,get- ting the individual pattern-making according to the body information.It is relatively correct and wise to get the individual pattern by modifying the basic pattern and the experts in this field do their researches on this way.One vital and unsolved problem is that how to find the very pattern which is the closest to the customers in the pattern-database which determines the validity of the final pattern.We conclude a technology methods from body information to digital pattern,design the rule of seeking yards and pattern- modification,build the B-P system (the system of the quick manufacture technology of body information-digital pattern),set up the style database,yarn database,pattern database,the rule databases of seeking yards and pattern-modification.It is confirmed that the B-P system is available,the setting-up of all the databases in the system is reasonable and the final pattern is correct.展开更多
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...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.展开更多
基金Supported by the National Natural Science Foundation of China (62202346)Hubei Key Research and Development Program (2021BAA042)+3 种基金Open project of Engineering Research Center of Hubei Province for Clothing Information (2022HBCI01)Wuhan Applied Basic Frontier Research Project (2022013988065212)MIIT′s AI Industry Innovation Task Unveils Flagship Projects (Key Technologies,Equipment,and Systems for Flexible Customized and Intelligent Manufacturing in the Clothing Industry)Hubei Science and Technology Project of Safe Production Special Fund (Scene Control Platform Based on Proprioception Information Computing of Artificial Intelligence)。
文摘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.
文摘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.
文摘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.
文摘The Garment MTM enables to realize the individual and quick manufacture to meet the development of the per- fectly popular and various garment industry,whose core technology is to produce the individual and digital pattern,that is,get- ting the individual pattern-making according to the body information.It is relatively correct and wise to get the individual pattern by modifying the basic pattern and the experts in this field do their researches on this way.One vital and unsolved problem is that how to find the very pattern which is the closest to the customers in the pattern-database which determines the validity of the final pattern.We conclude a technology methods from body information to digital pattern,design the rule of seeking yards and pattern- modification,build the B-P system (the system of the quick manufacture technology of body information-digital pattern),set up the style database,yarn database,pattern database,the rule databases of seeking yards and pattern-modification.It is confirmed that the B-P system is available,the setting-up of all the databases in the system is reasonable and the final pattern is correct.
文摘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.
