The past few years have witnessed the significant impacts of wearable electronics/photonics on various aspects of our daily life,for example,healthcare monitoring and treatment,ambient monitoring,soft robotics,prosthe...The past few years have witnessed the significant impacts of wearable electronics/photonics on various aspects of our daily life,for example,healthcare monitoring and treatment,ambient monitoring,soft robotics,prosthetics,flexible display,communication,human-machine interactions,and so on.According to the development in recent years,the next-generation wearable electronics and photonics are advancing rapidly toward the era of artificial intelligence(AI)and internet of things(IoT),to achieve a higher level of comfort,convenience,connection,and intelligence.Herein,this review provides an opportune overview of the recent progress in wearable electronics,photonics,and systems,in terms of emerging materials,transducing mechanisms,structural configurations,applications,and their further integration with other technologies.First,development of general wearable electronics and photonics is summarized for the applications of physical sensing,chemical sensing,humanmachine interaction,display,communication,and so on.Then self-sustainable wearable electronics/photonics and systems are discussed based on system integration with energy harvesting and storage technologies.Next,technology fusion of wearable systems and AI is reviewed,showing the emergence and rapid development of intelligent/smart systems.In the last section of this review,perspectives about the future development trends of the next-generation wearable electronics/photonics are provided,that is,toward multifunctional,self-sustainable,and intelligent wearable systems in the AI/IoT era.展开更多
为了给人机界面设计提供有效的评价手段,围绕用户对人机界面的感性需求,提出了基于感性工学的人机界面多意象评价方法。首先运用感性工学方法建立感性指标评价体系,在指标权重分配上,通过将灰色关联分析法引入群层次分析(analytic hiera...为了给人机界面设计提供有效的评价手段,围绕用户对人机界面的感性需求,提出了基于感性工学的人机界面多意象评价方法。首先运用感性工学方法建立感性指标评价体系,在指标权重分配上,通过将灰色关联分析法引入群层次分析(analytic hierarchy process,AHP)法中,利用改进的群AHP法求取综合权重,解决了传统AHP法主观性过强的缺点;同时根据感性工学评价的模糊性,建立了一种直觉模糊集理论和TOPSIS(technique for order preference by similarity to an ideal solution)法相结合的综合评价模型。结合数控机床人机界面设计方案验证了该评价方法的有效性和可行性。该方法对人机界面感性设计与设计评价具有一定的参考意义。展开更多
基金Agency for Science,Technology and Research,Grant/Award Number:A18A4b0055R-263-000-C91-305+2 种基金National Research Foundation Singapore,Grant/Award Number:AISG-GC-2019-002NRF-CRP15-2015-02National University of Singapore,Grant/Award Number:HIFES Seed Funding-2017-01。
文摘The past few years have witnessed the significant impacts of wearable electronics/photonics on various aspects of our daily life,for example,healthcare monitoring and treatment,ambient monitoring,soft robotics,prosthetics,flexible display,communication,human-machine interactions,and so on.According to the development in recent years,the next-generation wearable electronics and photonics are advancing rapidly toward the era of artificial intelligence(AI)and internet of things(IoT),to achieve a higher level of comfort,convenience,connection,and intelligence.Herein,this review provides an opportune overview of the recent progress in wearable electronics,photonics,and systems,in terms of emerging materials,transducing mechanisms,structural configurations,applications,and their further integration with other technologies.First,development of general wearable electronics and photonics is summarized for the applications of physical sensing,chemical sensing,humanmachine interaction,display,communication,and so on.Then self-sustainable wearable electronics/photonics and systems are discussed based on system integration with energy harvesting and storage technologies.Next,technology fusion of wearable systems and AI is reviewed,showing the emergence and rapid development of intelligent/smart systems.In the last section of this review,perspectives about the future development trends of the next-generation wearable electronics/photonics are provided,that is,toward multifunctional,self-sustainable,and intelligent wearable systems in the AI/IoT era.
文摘为了给人机界面设计提供有效的评价手段,围绕用户对人机界面的感性需求,提出了基于感性工学的人机界面多意象评价方法。首先运用感性工学方法建立感性指标评价体系,在指标权重分配上,通过将灰色关联分析法引入群层次分析(analytic hierarchy process,AHP)法中,利用改进的群AHP法求取综合权重,解决了传统AHP法主观性过强的缺点;同时根据感性工学评价的模糊性,建立了一种直觉模糊集理论和TOPSIS(technique for order preference by similarity to an ideal solution)法相结合的综合评价模型。结合数控机床人机界面设计方案验证了该评价方法的有效性和可行性。该方法对人机界面感性设计与设计评价具有一定的参考意义。
