With the rapid development of aerospace,the Internet of Things,wearable devices,and portable instruments,the application scenarios for sensors are expanding and requiring higher performance in terms of conversion effi...With the rapid development of aerospace,the Internet of Things,wearable devices,and portable instruments,the application scenarios for sensors are expanding and requiring higher performance in terms of conversion efficiency,flexibility,and stability.However,most sensors are powered by an external power source,which hinders the construction of flexible sensors due to their rigid nature.展开更多
Accurate plantar pressure mapping systems with low dependence on the external power supply are highly desired for preventative healthcare and medical diagnosis.Herein,we propose a self-powered smart insole system that...Accurate plantar pressure mapping systems with low dependence on the external power supply are highly desired for preventative healthcare and medical diagnosis.Herein,we propose a self-powered smart insole system that can perform both static and dynamic plantar pressure mapping with high accuracy.The smart insole system integrates an insole-shaped sensing unit,a multi-channel data acquisition board,and a data storage module.The smart insole consists of a 44-pixel sensor array based on triboelectric nanogenerators(TENGs)to transduce pressure to the electrical signal.By optimizing the sensor architecture and the system's robustness,the smart insole achieves high sensitivity,good error-tolerance capability,excellent durability,and short response–recovery time.Various gait and mobility patterns,such as standing,introversion/extraversion,throwing,and surpassing obstacles,can be distin-guished by analyzing the acquired electrical signals.This work paves the way for self-powered wearable devices for gait monitoring,which might enable a new modality of medical diagnosis.展开更多
As one of the most promising nonvolatile memory,resistive switching random-access memory(ReRAM)has exhibited great application potential for information storage and artificial synapses in computing and neuromorphic sy...As one of the most promising nonvolatile memory,resistive switching random-access memory(ReRAM)has exhibited great application potential for information storage and artificial synapses in computing and neuromorphic systems,and has shown great advantages including low power consumption,high integration density,simple device structure,and fast switching speed.展开更多
基金supported by the National Natural Science Foundation of China(51973119 and 52150009)Shenzhen Science and Technology Program,(ZDSYS20220606100406016)Guangdong Provincial Key Laboratory of Durability for Marine Civil Engineering(SZU)(2020B1212060074)。
文摘With the rapid development of aerospace,the Internet of Things,wearable devices,and portable instruments,the application scenarios for sensors are expanding and requiring higher performance in terms of conversion efficiency,flexibility,and stability.However,most sensors are powered by an external power source,which hinders the construction of flexible sensors due to their rigid nature.
基金Startup Funding from Local Government,Grant/Award Number:827/000544National Natural Science Foundation of China,Grant/Award Number:51973119+4 种基金Program of the China Postdoctoral Science Foundation,Grant/Award Number:2022M712160Program of the National Natural Science Foundation of China,Grant/Award Number:52150009Open Project of Key Lab of Special Functional Materials of Ministry of Education,Henan University,Grant/Award Number:KFKT-2022-10High-Level University Construction Fund,Grant/Award Number:860-000002081205Natural Science Foundation of Guangdong Province,Grant/Award Number:2019A1515011566。
文摘Accurate plantar pressure mapping systems with low dependence on the external power supply are highly desired for preventative healthcare and medical diagnosis.Herein,we propose a self-powered smart insole system that can perform both static and dynamic plantar pressure mapping with high accuracy.The smart insole system integrates an insole-shaped sensing unit,a multi-channel data acquisition board,and a data storage module.The smart insole consists of a 44-pixel sensor array based on triboelectric nanogenerators(TENGs)to transduce pressure to the electrical signal.By optimizing the sensor architecture and the system's robustness,the smart insole achieves high sensitivity,good error-tolerance capability,excellent durability,and short response–recovery time.Various gait and mobility patterns,such as standing,introversion/extraversion,throwing,and surpassing obstacles,can be distin-guished by analyzing the acquired electrical signals.This work paves the way for self-powered wearable devices for gait monitoring,which might enable a new modality of medical diagnosis.
基金supported by the National Natural Science Foundation of China(51973119,61804011,52125205,U20A20166,and 61805015)the Natural Science Foundation of Beijing Municipality(Z180011)+2 种基金the Natural Science Foundation of Guangdong Province(2018A0303130060,2019A1515011566,and 2019B1515120042)Shenzhen Science and Technology Program(KQTD20170810105439418)the Fundamental Research Funds for the Central Universities。
文摘As one of the most promising nonvolatile memory,resistive switching random-access memory(ReRAM)has exhibited great application potential for information storage and artificial synapses in computing and neuromorphic systems,and has shown great advantages including low power consumption,high integration density,simple device structure,and fast switching speed.
