Leather‐Based Strain Sensor with Hierarchical Structure for Motion Monitoring
Ruijie Xie, Shanshan Hou, Yuanyuan Chen, Kang Zhang, Binghua Zou, Y. Liu, Jiayuan Liang, Shaohua Guo, Hongfeng Li, Bing Zheng, Sheng Li, Weina Zhang, Jiansheng Wu, Fengwei Huo
- 发表年份
- 2019
- 引用次数
- 59
摘要
Abstract Flexible and wearable strain sensor has drawn a great deal of attention owing to its wide applications in health monitoring, human–machine interfaces, soft robotics, etc. Microstructural design on the conductive layer of strain sensor effectively improves its performance in linearity and hysteresis effect, yet the process of achieving microstructure is complicated. Leather, a kind of conventional flexible materials to manufacture clothes, shoes, etc., possesses natural hierarchical structure that consists of collagen fiber. Herein, leather is used as a substrate to fabricate a strain sensor by filtration of conductive nanomaterials aqueous dispersion. It is found that 0D conductive nanomaterials can be adsorbed in leather to form conductive pathway with leather‐like microstructure. The as‐prepared sensor with such microstructure not only inherits the air permeability, mechanical property, and biocompatibility from leather, but also displays linearity performance within three regions, low hysteresis effect, short response time, high stability, stretchability, as well as good durability. Kirigami is introduced to endow the leather‐based sensor with stretchability. Such a sensor is applicable to human motion monitoring and shape perception of robotic arm.
关键词
相关论文
Artificial intelligence: a modern approach
1995
Are we ready for autonomous driving? The KITTI vision benchmark suite
Andreas Geiger, P Lenz, R. Urtasun
2012
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martı́n Abadi, Ashish Agarwal, Paul Barham 等 20 位作者
2016
Vision meets robotics: The KITTI dataset
Andreas Geiger, Philip Lenz, Christoph Stiller 等 4 位作者
2013