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 knitting industry CAD/CAM system's development needs a solution of computer representation of the designed objects.One of them is a transformation of knitting rows and stitches form knitting pattern and its au...The knitting industry CAD/CAM system's development needs a solution of computer representation of the designed objects.One of them is a transformation of knitting rows and stitches form knitting pattern and its automatic analysis is to control data from the knitting design data.A method of the pattern CAD system including the analyzing and the compiling of the pattern data was developed in this paper.By rasterizing the pattern map,the drafted pattern could be compiled into knitting row data and stitches.The storage format of knitting rows data and stitches data could be defined by analyzing the motion of computerized fiat knitting machine.By reassembling the control data,it could be analyzed into the execute data of the controller in computerized flat knitting machine.This method mainly focused on the weak areas of multi-needle-bed technology and fully-fashioned knitting technology in inland and could be applied to most of control systems in the master-slave mode.The knitting row data and pattern row data in a " *.ptn" format file were integrated.Giving a corresponding analytic calculation process of control data and realizing independent development of the upper machine and the lower machine,the final knitting control data not only have low computation and transmission cost but also have fast transfer speeds.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.
基金National Natureal Science Foundation of China(No.51305076)
文摘The knitting industry CAD/CAM system's development needs a solution of computer representation of the designed objects.One of them is a transformation of knitting rows and stitches form knitting pattern and its automatic analysis is to control data from the knitting design data.A method of the pattern CAD system including the analyzing and the compiling of the pattern data was developed in this paper.By rasterizing the pattern map,the drafted pattern could be compiled into knitting row data and stitches.The storage format of knitting rows data and stitches data could be defined by analyzing the motion of computerized fiat knitting machine.By reassembling the control data,it could be analyzed into the execute data of the controller in computerized flat knitting machine.This method mainly focused on the weak areas of multi-needle-bed technology and fully-fashioned knitting technology in inland and could be applied to most of control systems in the master-slave mode.The knitting row data and pattern row data in a " *.ptn" format file were integrated.Giving a corresponding analytic calculation process of control data and realizing independent development of the upper machine and the lower machine,the final knitting control data not only have low computation and transmission cost but also have fast transfer speeds.
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.
