|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Triboelectric Nanogenerators and Hybridized Systems for Enabling Next-Generation IoT Applications显示文摘In the past few years,triboelectric nanogenerator-based(TENG-based)hybrid generators and systems have experienced a widespread and flourishing development,ranging among almost every aspect of our lives,e.g.,from industry to consumer,outdoor to indoor,and wearable to implantable applications.Although TENG technology has been extensively investigated for mechanical energy harvesting,most developed TENGs still have limitations of small output current,unstable power generation,and low energy utilization rate of multisource energies.To harvest the ubiquitous/coexisted energy forms including mechanical,thermal,and solar energy simultaneously,a promising direction is to integrate TENG with other transducing mechanisms,e.g.,electromagnetic generator,piezoelectric nanogenerator,pyroelectric nanogenerator,thermoelectric generator,and solar cell,forming the hybrid generator for synergetic single-source and multisource energy harvesting.The resultant TENG-based hybrid generators utilizing integrated transducing mechanisms are able to compensate for the shortcomings of each mechanism and overcome the above limitations,toward achieving a maximum,reliable,and stable output generation.Hence,in this review,we systematically introduce the key technologies of the TENG-based hybrid generators and hybridized systems,in the aspects of operation principles,structure designs,optimization strategies,power management,and system integration.The recent progress of TENG-based hybrid generators and hybridized systems for the outdoor,indoor,wearable,and implantable applications is also provided.Lastly,we discuss our perspectives on the future development trend of hybrid generators and hybridized systems in environmental monitoring,human activity sensation,human-machine interaction,smart home,healthcare,wearables,implants,robotics,Internet of things(IoT),and many other fields. | Qiongfeng Shi Zhongda Sun Zixuan Zhang Chengkuo Lee | 2021 | Research2021，，1： | 7 |
| 2 | Human movement monitoring and behavior recognition for intelligent sports using customizable and flexible triboelectric nanogenerator显示文摘Effective collection,recognition,and analysis of sports information is the key to intelligent sports,which can help athletes to improve their skills and formulate scientific training plans and competition strategies.At present,wearable electronic devices used for movement monitoring still have some limitations,such as high cost and energy consumption,incompatibility of suitable flexibility and personalized spatial structure,dissatisfactory data analysis methods,etc.In this work,a novel three-dimensionalprinted thermoplastic polyurethane is introduced as the elastic shell and friction layer,and it endows the proposed customizable and flexible triboelectric nanogenerator(CF-TENG)with personalized spatial structure and robust correlation to external pressure.In practical application,it exhibits highly sensitive responses to the joint-bending motion of the finger,wrist,or elbow.Furthermore,a pressure-sensing insole and smart ski pole based on CF-TENG are manufactured to build a comprehensive sports monitoring system to transmit the athletes’motion information from feet and hands through the plantar pressure distribution and ski pole action.To recognize the movement status,the self-developed automatic peak recognition algorithm(P-Find)and machine learning algorithm(subspace K-Nearest Neighbors)were introduced to accurately distinguish the four typical motion behaviors and three primary sub-techniques of cross-country skiing,with accuracy rates of 98.2%and 100%.This work provides a novel strategy to promote the personalized applications of TENGs in intelligent sports. | YANG Yun HOU XiaoJuan GENG WenPing MU JiLiang ZHANG Le WANG XiangDong HE Jian XIONG Ji Jun CHOU XiuJian | 2022 | Science China(Technological Sciences)2022，65，4： | 6 |
| 3 | 机器学习在可穿戴智能传感系统中的应用与进展显示文摘近些年,随着传感器和集成电路制造工艺的高速发展,可穿戴设备的应用越来越多;同时,利用人工智能和机器学习方法来辅助和促进可穿戴系统的应用也得到了广泛的研究.机器学习辅助的可穿戴智能传感系统可以跟踪监测人体活动和生命体征信号,在人机交互、数字健康乃至临床诊断等领域具有重要的应用前景.本文详细介绍和讨论了近期可穿戴传感器件、机器学习算法及其辅助可穿戴传感应用等研究进展,并探讨了机器学习辅助的可穿戴传感系统面临的挑战,总结了有待改进之处.同时,本文也针对机器学习在可穿戴传感系统中的进一步应用提出了潜在的解决方案和可能的发展方向. | 王文君 郑丽敏 程泓宇 徐小维 孟博 | 2023 | 科学通报2023，68，34： | 1 |
| 4 | Human Machine Interface with Wearable Electronics Using Biodegradable Triboelectric Films for Calligraphy Practice and Correction显示文摘Letter handwriting,especially stroke correction,is of great importance for recording languages and expressing and exchanging ideas for individual behavior and the public.In this study,a biodegradable and conductive carboxymethyl chitosan-silk fibroin(CSF)film is prepared to design wearable triboelectric nanogenerator(denoted as CSF-TENG),which outputs of V_(oc)≈165 V,I_(sc)≈1.4μA,and Q_(sc)≈72 mW cm^(−2).Further,in vitro biodegradation of CSF film is performed through trypsin and lysozyme.The results show that trypsin and lysozyme have stable and favorable biodegradation properties,removing 63.1%of CSF film after degrading for 11 days.Further,the CSF-TENG-based human-machine interface(HMI)is designed to promptly track writing steps and access the accuracy of letters,resulting in a straightforward communication media of human and machine.The CSF-TENG-based HMI can automatically recognize and correct three representative letters(F,H,and K),which is benefited by HMI system for data processing and analysis.The CSF-TENG-based HMI can make decisions for the next stroke,highlighting the stroke in advance by replacing it with red,which can be a candidate for calligraphy practice and correction.Finally,various demonstrations are done in real-time to achieve virtual and real-world controls including writing,vehicle movements,and healthcare. | Shen Shen Jia Yi Zhongda Sun Zihao Guo Tianyiyi He Liyun Ma Huimin Li Jiajia Fu Chengkuo Lee Zhong Lin Wang | 2022 | Nano-Micro Letters2022，14，12： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员