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
Based on the questionnaire survey data of college students in Wuhan,this paper studied the motivation of consumption behavior of college students in western-style fast food restaurants on campus,and built a relationsh...Based on the questionnaire survey data of college students in Wuhan,this paper studied the motivation of consumption behavior of college students in western-style fast food restaurants on campus,and built a relationship model for consumption motivation and behavior. The results indicate that the consumption motivation of college students in western-style fast food restaurants includes six types: social motivation,conformity motivation,show-off motivation,self-hedonic motivation,quality-pursuing motivation,and self-gift giving motivation. The overall characteristics of college students' consumption behavior in western-style fast food restaurants include six characteristics: consumption period,consumption frequency,ways of information access,consumption amount,product preference,and consumption willingness. There are significant differences in the consumption behavior between different college students. Different college students are different in consumption period,consumption frequency,ways of information access,consumption amount,product preference,and consumption willingness. Based on the above results,it came up with pertinent marketing recommendations.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Based on the questionnaire survey data of college students in Wuhan,this paper studied the motivation of consumption behavior of college students in western-style fast food restaurants on campus,and built a relationship model for consumption motivation and behavior. The results indicate that the consumption motivation of college students in western-style fast food restaurants includes six types: social motivation,conformity motivation,show-off motivation,self-hedonic motivation,quality-pursuing motivation,and self-gift giving motivation. The overall characteristics of college students' consumption behavior in western-style fast food restaurants include six characteristics: consumption period,consumption frequency,ways of information access,consumption amount,product preference,and consumption willingness. There are significant differences in the consumption behavior between different college students. Different college students are different in consumption period,consumption frequency,ways of information access,consumption amount,product preference,and consumption willingness. Based on the above results,it came up with pertinent marketing recommendations.
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.