A wearable, fibroid, self-powered active kinematic sensor based on stretchable sheath-core structural triboelectric fibers

被引:74
|
作者
Gong, Wei [1 ]
Hou, Chengyi [1 ]
Guo, Yinben [1 ]
Zhou, Jie [3 ]
Mu, Jiuke [1 ]
Li, Yaogang [2 ]
Zhang, Qinghong [2 ]
Wang, Hongzhi [1 ]
机构
[1] Donghua Univ, Coll Mat Sci & Engn, State Key Lab Modificat Chem Fibers & Polymer Mat, Shanghai 201620, Peoples R China
[2] Donghua Univ, Minist Educ, Engn Res Ctr Adv Glasses Mfg Technol, Shanghai 201620, Peoples R China
[3] Sichuan Univ, Coll Elect & Informat Engn, Chengdu 610064, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Fibroid; Self-powered; Kinematic sensor; Stretchable; Triboelectric fiber; NANOTUBE STRAIN SENSOR; HUMAN-MOTION DETECTION; HYBRID NANOGENERATOR; PRESSURE SENSORS; ELECTRONIC SKIN; FILMS; COMPOSITE; SURFACES; SYSTEM; MATRIX;
D O I
10.1016/j.nanoen.2017.08.003
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
While the emerging stretchable electronic sensors have been demonstrated as promising wearable functional devices, challenges in achieving highly stretchable and self-powered fiber-like sensors still exist. Here, a stretchable sheath-core structural triboelectric fiber (SSCTEF) is developed to serve as a self-powered multifunctional kinematic sensor. Owing to the advanced built-in wavy structure design, the fiber-like sensor exhibits an ultrahigh working strain (100%) and demonstrates high sensitivity in response to not only stretching but also to bending and compressing. The working principle of the SSCTEF is verified by the coupling of numerical calculations and experimental measurements. A comprehensive study is carried out to investigate the factors that influence the output performance of the SSCTEF. By wearing, it is capable of detecting and discriminating the joint movements of human bodies. By further weaving and construction, it also shows potential for detecting the deformation in two-dimensional region. This work provides new opportunities for wearable and self-powered sensing fibers with full potential in human motion monitoring.
引用
收藏
页码:673 / 683
页数:11
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