A Self‐Powered Dynamic Displacement Monitoring System Based on Triboelectric Accelerometer

By Hua Yu, Xu He, Wenbo Ding, Yongshan Hu, Dongchen Yang, Shan Lu, Changsheng Wu, Haiyang Zou, Ruiyuan Liu, Canhui Lu and 1 more. 2017

140 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/df2c4ccab30f9decd694c35dd413839d5315220d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Xinge Guo
2. Chengkuo Lee
3. Long Liu
4. Tianyiyi He
5. Feng Wen
6. Qiongfeng Shi
7. Bowei Dong
8. Jianxiong Zhu

In Cognitive Neuroscience

1. Chengkuo Lee
2. Xinge Guo
3. Long Liu
4. Tianyiyi He
5. Feng Wen
6. Qiongfeng Shi
7. Jianxiong Zhu
8. Bowei Dong

In Polymers and Plastics

1. Chengkuo Lee
2. Xinge Guo
3. Long Liu
4. Tianyiyi He
5. Qiongfeng Shi
6. Feng Wen
7. Philippe Vachon
8. Yanqin Yang

Citations in the corpus

• Progress in TENG technology—A journey from energy harvesting to nanoenergy and nanosystem (2020, background): “In terms of vibration measurement, acceleration sensors are indispensable components to extract the interesting vibration features.(144-149) To achieve high sensitivity and self-powered sensing capability, a TENG-based acceleration sensor was proposed in Figure 3D, in which an encapsulated liquid me”
• Nanogenerator as new energy technology for self-powered intelligent transportation system (2019, methodology): “utilized TENG as an accelerometer to monitor the health of bridge [140].”