Smart data gloves capable of monitoring finger activities and inferring hand gestures are of significance to human-machine interfaces,robotics,healthcare,and Metaverse.Yet,most current smart data gloves present unstab...Smart data gloves capable of monitoring finger activities and inferring hand gestures are of significance to human-machine interfaces,robotics,healthcare,and Metaverse.Yet,most current smart data gloves present unstable mechanical contacts,limited sensitivity,as well as offline training and updating of machine learning models,leading to uncomfortable wear and suboptimal performance during practical applications.Herein,highly sensitive and mechanically stable textile sensors are developed through the construction of loose MXene-modified textile interface structures and a thermal transfer printing method with the melting-infiltration-solidification adhesion procedure.Then,a smart data glove with adaptive gesture recognition is reported,based on the integration of 10-channel MXene textile bending sensors and a near-sensor adaptive machine learning model.The near-sensor adaptive machine learning model achieves a 99.5%accuracy using the proposed post-processing algorithm for 14 gestures.Also,the model features the ability to locally update model parameters when gesture types change,without additional computation on any external device.A high accuracy of 98.1%is still preserved when further expanding the dataset to 20 gestures,where the accuracy is recovered by 27.6%after implementing the model updates locally.Lastly,an auto-recognition and control system for wireless robotic sorting operations with locally trained hand gestures is demonstrated,showing the great potential of the smart data glove in robotics and human-machine interactions.展开更多
Advances in wearable electronics and information technology drive sports data collection and analysis toward real-time visualization and precision. The growing pursuit of athleticism and healthy life makes it appealin...Advances in wearable electronics and information technology drive sports data collection and analysis toward real-time visualization and precision. The growing pursuit of athleticism and healthy life makes it appealing for individuals to track their real-time health and exercise data seamlessly. While numerous devices enable sports and health monitoring, maintaining comfort over long periods remains a considerable challenge, especially in high-intensity and sweaty sports scenarios. Textiles, with their breathability, deformability, and moisture-wicking abilities, ensure exceptional comfort during prolonged wear, making them ideal for wearable platforms. This review summarized the progress of research on textile-based sports monitoring devices. First, the design principles and fabrication methods of smart textiles were introduced systematically. Textiles undergo a distinctive fiber-yarn-fabric or fiber-fabric manufacturing process that allows for the regulation of performance and the integration of functional elements at every step. Then, the performance requirements for precise sports data collection of smart textiles, including main vital signs, joint movement, and data transmission, were discussed. Lastly, the applications of smart textiles in various sports scenarios are demonstrated. Additionally, the review provides an in-depth analysis of the emerging challenges, strategies, and opportunities for the research and development of sports-oriented smart textiles. Smart textiles not only maintain comfort and accuracy in sports, but also serve as inexpensive and efficient information-gathering terminals. Therefore, developing multifunctional, cost-effective textile-based systems for personalized sports and healthcare is a pressing need for the future of intelligent sports.展开更多
The intelligent textile sensors based on fiber(1D)and fabric(2D)are the ideal candidates for wearable devices.Their flexible weaving and unique structure endow them with flexibility,lightweight,good air permeability,a...The intelligent textile sensors based on fiber(1D)and fabric(2D)are the ideal candidates for wearable devices.Their flexible weaving and unique structure endow them with flexibility,lightweight,good air permeability,and feasible integration with garments.In view of the spring-up of novel textile-based strain sensors,the novel materials and fabrication approaches were elaborated from spatial perspectives,i.e.,1D fibers/yarn and 2D fabric.The intrinsic sensing mechanism is the primary fac-tor affecting sensor sensitivity,and the variation trend of the sensing signal is closely related to it.Although existing studies have involved various sensing mechanisms,there is still lacking systematic classification and discussion.Hence,the sensing mechanisms of textile-based sensors were elaborated from spatial perspectives.Considering that strain sensors were mostly based on resistance variation,the sensing mechanisms of resistive textile-based strain sensors were mainly focused,mainly including fiber deformation,tunneling effect,crack propagation,fabric deformation,electrical contact and bridge connec-tion.Meanwhile,the corresponding resistance prediction models,usually used as important data fitting methodology,were also comprehensively discussed,which can reproduce the resistance trend and provide guidance for the sensor performance.Finally,the multifunctionality of textile-based strain sensors was summarized,namely multi-mode signal detection,visual interaction,energy collection,thermal management and medical treatment were discussed.It was expected to provide research insights into the multifunctional integration of textile sensors.展开更多
With the increasing demand for smart wearable clothing, the textile piezoelectric pressure sensor (T-PEPS) that can harvest mechanical energy directly has attracted significant attention. However, the current challeng...With the increasing demand for smart wearable clothing, the textile piezoelectric pressure sensor (T-PEPS) that can harvest mechanical energy directly has attracted significant attention. However, the current challenge of T-PEPS lies in remaining the outstanding output performance without compromising its wearing comfort. Here, a novel structural hierarchy T-PEPS based on the single-crystalline ZnO nanorods are designed. The T-PEPS is constructed with three layers mode consisting of a polyvinylidene fluoride (PVDF) membrane, the top and bottom layers of conductive rGO polyester (PET) fabrics with self-orientation ZnO nanorods. As a result, the as-fabricated T-PEPS shows low detection limit up to 8.71 Pa, high output voltage to 11.47 V and superior mechanical stability. The sensitivity of the sensor is 0.62 V·kPa−1 in the pressure range of 0–2.25 kPa. Meanwhile, the T-PEPS is employed to detect human movements such as bending/relaxation motion of the wrist, bending/stretching motion of each finger. It is demonstrated that the T-PEPS can be up-scaled to promote the application of wearable sensor platforms and self-powered devices.展开更多
The integration of a display function with wearable interactive sensors offers a promising way to synchronously detect physiological signals and visualize pressure/stimuli.However,combining these two functions in a st...The integration of a display function with wearable interactive sensors offers a promising way to synchronously detect physiological signals and visualize pressure/stimuli.However,combining these two functions in a strain sensor textile is a longstanding challenge due to the physical separation of sensors and display units.Here,a water-stable luminescent perovskite hydrogel(emission band approximately 25 nm)is constructed by blending as-prepared CsPbBr_(3)@PbBr(OH)with stretchable polyacrylamide(PAM)hydrogels.The facile introduction of CsPbBr_(3)@PbBr(OH)endows the hydrogels with excellent optical properties and a high mechanical strength of 51.3 kPa at a fracture strain of 740%.Interestingly,the resulting hydrogels retain bright green fluorescence under conditions including water,ultraviolet light,and extensive stretching(>700%).As a proof-of-concept,a novel wearable stretchable strain sensor textile based on these hydrogels is developed,and it displays visual-digital synergetic strain detection ability.It can perceive various motions on the human body in real time with electronic output signals from changes in resistance and simultaneously readable optical output signals,whether on land or underwater.This work provides a meaningful guide to rationally design perovskite hydrogels and accelerates the development of wearable visual-digital strain sensor textiles.展开更多
Yarn-based strain sensors(YSSs)have shown great promising in the fabrication of wearable devices for their good comfortability and fexible designability.However,the false signals generated by the changes in the yarn s...Yarn-based strain sensors(YSSs)have shown great promising in the fabrication of wearable devices for their good comfortability and fexible designability.However,the false signals generated by the changes in the yarn structure of the YSSs are usually ignored.In this study,the generation,the characteristic,and the prediction of these signals were investigated.We recognized that these signals are composed of two negative pseudo peaks and a spurious resistance response plateau.These responses are found to have nothing in common with a true tensile strain,but be attributed to plastic deformation of the fbers.This is due to the fact that the deformation of YSSs exceeds the linear elastic range of the fbers.Although the use of pure elastic fbers can eliminate the spurious resistance response plateau,it will lead to an increase in the pseudo peak to the value compared with a true strain signal peak.Hence,a theoretical model was established to decouple the real signals from the false responses,ensuring the high sensing accuracy of YSSs for applications in wearable devices and artifcial intelligence interfaces.This work provides an in-depth understanding of the response of the YSSs,which might provide inspiration and guidance in the design of high-accuracy fber-based strain sensors.展开更多
基金supported by the National Key R&D Program of China(2021YFB3600502,2022YFB3603403)the National Natural Science Foundation of China(62075040,623B2021)the Start-up Research Fund of Southeast University(RF1028623164).
文摘Smart data gloves capable of monitoring finger activities and inferring hand gestures are of significance to human-machine interfaces,robotics,healthcare,and Metaverse.Yet,most current smart data gloves present unstable mechanical contacts,limited sensitivity,as well as offline training and updating of machine learning models,leading to uncomfortable wear and suboptimal performance during practical applications.Herein,highly sensitive and mechanically stable textile sensors are developed through the construction of loose MXene-modified textile interface structures and a thermal transfer printing method with the melting-infiltration-solidification adhesion procedure.Then,a smart data glove with adaptive gesture recognition is reported,based on the integration of 10-channel MXene textile bending sensors and a near-sensor adaptive machine learning model.The near-sensor adaptive machine learning model achieves a 99.5%accuracy using the proposed post-processing algorithm for 14 gestures.Also,the model features the ability to locally update model parameters when gesture types change,without additional computation on any external device.A high accuracy of 98.1%is still preserved when further expanding the dataset to 20 gestures,where the accuracy is recovered by 27.6%after implementing the model updates locally.Lastly,an auto-recognition and control system for wireless robotic sorting operations with locally trained hand gestures is demonstrated,showing the great potential of the smart data glove in robotics and human-machine interactions.
基金financially supported by the National Natural Science Foundation of China (52073051, 52373054)the Fundamental Research Funds for the Central Universities (2232022A-04, 24D110109/005, 2232024G-06-01)+1 种基金Natural Science Foundation of Shanghai (23ZR1400900)Shanghai Frontier Science Research Center for Modern Textiles。
文摘Advances in wearable electronics and information technology drive sports data collection and analysis toward real-time visualization and precision. The growing pursuit of athleticism and healthy life makes it appealing for individuals to track their real-time health and exercise data seamlessly. While numerous devices enable sports and health monitoring, maintaining comfort over long periods remains a considerable challenge, especially in high-intensity and sweaty sports scenarios. Textiles, with their breathability, deformability, and moisture-wicking abilities, ensure exceptional comfort during prolonged wear, making them ideal for wearable platforms. This review summarized the progress of research on textile-based sports monitoring devices. First, the design principles and fabrication methods of smart textiles were introduced systematically. Textiles undergo a distinctive fiber-yarn-fabric or fiber-fabric manufacturing process that allows for the regulation of performance and the integration of functional elements at every step. Then, the performance requirements for precise sports data collection of smart textiles, including main vital signs, joint movement, and data transmission, were discussed. Lastly, the applications of smart textiles in various sports scenarios are demonstrated. Additionally, the review provides an in-depth analysis of the emerging challenges, strategies, and opportunities for the research and development of sports-oriented smart textiles. Smart textiles not only maintain comfort and accuracy in sports, but also serve as inexpensive and efficient information-gathering terminals. Therefore, developing multifunctional, cost-effective textile-based systems for personalized sports and healthcare is a pressing need for the future of intelligent sports.
基金supported by the major project of the National Natural Science Foundation of China(52090033/52090030).
文摘The intelligent textile sensors based on fiber(1D)and fabric(2D)are the ideal candidates for wearable devices.Their flexible weaving and unique structure endow them with flexibility,lightweight,good air permeability,and feasible integration with garments.In view of the spring-up of novel textile-based strain sensors,the novel materials and fabrication approaches were elaborated from spatial perspectives,i.e.,1D fibers/yarn and 2D fabric.The intrinsic sensing mechanism is the primary fac-tor affecting sensor sensitivity,and the variation trend of the sensing signal is closely related to it.Although existing studies have involved various sensing mechanisms,there is still lacking systematic classification and discussion.Hence,the sensing mechanisms of textile-based sensors were elaborated from spatial perspectives.Considering that strain sensors were mostly based on resistance variation,the sensing mechanisms of resistive textile-based strain sensors were mainly focused,mainly including fiber deformation,tunneling effect,crack propagation,fabric deformation,electrical contact and bridge connec-tion.Meanwhile,the corresponding resistance prediction models,usually used as important data fitting methodology,were also comprehensively discussed,which can reproduce the resistance trend and provide guidance for the sensor performance.Finally,the multifunctionality of textile-based strain sensors was summarized,namely multi-mode signal detection,visual interaction,energy collection,thermal management and medical treatment were discussed.It was expected to provide research insights into the multifunctional integration of textile sensors.
基金This study was supported by National First-Class Discipline Program of Light Industry Technology and Engineering(No.LITE2018-21)the National Key Research and Development Program of China(Nos.2018YFC2000903 and 2019YFC1711701)+2 种基金the National Natural Science Foundation of China(Nos.21975107,61803364,and U1913216)the Fundamental Research Funds for the Central Universities(No.JUSRP51724B)the Shenzhen Fundamental Research and Discipline Layout Project(No.JCYJ20180302145549896).
文摘With the increasing demand for smart wearable clothing, the textile piezoelectric pressure sensor (T-PEPS) that can harvest mechanical energy directly has attracted significant attention. However, the current challenge of T-PEPS lies in remaining the outstanding output performance without compromising its wearing comfort. Here, a novel structural hierarchy T-PEPS based on the single-crystalline ZnO nanorods are designed. The T-PEPS is constructed with three layers mode consisting of a polyvinylidene fluoride (PVDF) membrane, the top and bottom layers of conductive rGO polyester (PET) fabrics with self-orientation ZnO nanorods. As a result, the as-fabricated T-PEPS shows low detection limit up to 8.71 Pa, high output voltage to 11.47 V and superior mechanical stability. The sensitivity of the sensor is 0.62 V·kPa−1 in the pressure range of 0–2.25 kPa. Meanwhile, the T-PEPS is employed to detect human movements such as bending/relaxation motion of the wrist, bending/stretching motion of each finger. It is demonstrated that the T-PEPS can be up-scaled to promote the application of wearable sensor platforms and self-powered devices.
基金supported by the Natural Science Foundation of Jiangsu Province(BK20220288)Suzhou Institute of Nano-Tech and Nano-Bionics,Chinese Academy of Sciences(Start-up grant E1552102)+2 种基金This work was supported by the Singapore Ministry of Education Academic Research Fund Tier 2(MOE2019-T2-2-127 and MOE-T2EP50120-0002),and A*STAR under AME IRG(A2083c0062)This work was supported by A*STAR under its IAF-ICP Programme I2001E0067 and the Schaeffler Hub for Advanced Research at NTUThis work was also supported by NTU-PSL Joint Lab collaboration。
文摘The integration of a display function with wearable interactive sensors offers a promising way to synchronously detect physiological signals and visualize pressure/stimuli.However,combining these two functions in a strain sensor textile is a longstanding challenge due to the physical separation of sensors and display units.Here,a water-stable luminescent perovskite hydrogel(emission band approximately 25 nm)is constructed by blending as-prepared CsPbBr_(3)@PbBr(OH)with stretchable polyacrylamide(PAM)hydrogels.The facile introduction of CsPbBr_(3)@PbBr(OH)endows the hydrogels with excellent optical properties and a high mechanical strength of 51.3 kPa at a fracture strain of 740%.Interestingly,the resulting hydrogels retain bright green fluorescence under conditions including water,ultraviolet light,and extensive stretching(>700%).As a proof-of-concept,a novel wearable stretchable strain sensor textile based on these hydrogels is developed,and it displays visual-digital synergetic strain detection ability.It can perceive various motions on the human body in real time with electronic output signals from changes in resistance and simultaneously readable optical output signals,whether on land or underwater.This work provides a meaningful guide to rationally design perovskite hydrogels and accelerates the development of wearable visual-digital strain sensor textiles.
基金This work was supported by the National Natural Science Foundation of China(Grant Nos.51973116,U1832109,21935002,52003156)the Users with Excellence Program of Hefei Science Center CAS(2019HSC-UE003)+1 种基金China Postdoctoral Science Foundation(2020M681344)the starting grant of ShanghaiTech University,and State Key Laboratory for Modifcation of Chemical Fibers and Polymer Materials.
文摘Yarn-based strain sensors(YSSs)have shown great promising in the fabrication of wearable devices for their good comfortability and fexible designability.However,the false signals generated by the changes in the yarn structure of the YSSs are usually ignored.In this study,the generation,the characteristic,and the prediction of these signals were investigated.We recognized that these signals are composed of two negative pseudo peaks and a spurious resistance response plateau.These responses are found to have nothing in common with a true tensile strain,but be attributed to plastic deformation of the fbers.This is due to the fact that the deformation of YSSs exceeds the linear elastic range of the fbers.Although the use of pure elastic fbers can eliminate the spurious resistance response plateau,it will lead to an increase in the pseudo peak to the value compared with a true strain signal peak.Hence,a theoretical model was established to decouple the real signals from the false responses,ensuring the high sensing accuracy of YSSs for applications in wearable devices and artifcial intelligence interfaces.This work provides an in-depth understanding of the response of the YSSs,which might provide inspiration and guidance in the design of high-accuracy fber-based strain sensors.
