A Highly Stable and Durable Capacitive Strain Sensor Based on Dynamically Super‐Tough Hydro/Organo‐Gels

2021 ◽  
pp. 2010830
Author(s):  
Funian Mo ◽  
Yan Huang ◽  
Qing Li ◽  
Zifeng Wang ◽  
Ruijuan Jiang ◽  
...  
2021 ◽  
Author(s):  
Cuong Do ◽  
Ashwin A. Seshia

Temperature variation is one of the most crucial factors that need to be cancelled in MEMS sensors. Many traditional methodologies require an additional circuit to compensate for temperature. This work describes a new active temperature compensation method for MEMS capacitive strain sensor without any additional circuit. The proposed method is based on a complement 2-D capacitive structure design. It consumes zero-power, which is essential toward the realization of a low-power temperature-compensated sensor in battery-powered or energy-harvesting applications<br>


2021 ◽  
pp. 1-1
Author(s):  
Chi Zhang ◽  
Shang-Yang Zhang ◽  
Li-Feng Wang

2020 ◽  
Vol 8 (18) ◽  
pp. 6034-6041 ◽  
Author(s):  
V. Kesava Rao ◽  
Nitzan Shauloff ◽  
XiaoMeng Sui ◽  
H. Daniel Wagner ◽  
Raz Jelinek

Highly sensitive and stretchable PDA–PAA–Cr3+ hydrogel capacitive strain sensor is fabricated and used to monitor mechanical deformation and human motion.


2020 ◽  
Vol 1570 ◽  
pp. 012033
Author(s):  
ZHONG Jun ◽  
LI Chun-na ◽  
ZHU Wen-liang ◽  
ZHOU Hong ◽  
LIU Yong-feng ◽  
...  

2015 ◽  
Vol 15 (11) ◽  
pp. 6542-6548 ◽  
Author(s):  
Hung Cao ◽  
Shreyas K. Thakar ◽  
Matthew Lee Oseng ◽  
Cuong M. Nguyen ◽  
Chokri Jebali ◽  
...  

Author(s):  
Phil Denen ◽  
Matthew Colachis ◽  
Amy M. Heintz ◽  
Krenar Shqau ◽  
Andrew Sweeney ◽  
...  

Abstract Embedded sensors in footwear are of interest for providing feedback on mobility and gait. The most sensitive location is within the sole, requiring development of new materials that have the required functional and mechanical properties. We are developing capacitive strain sensors. The performance of such sensorsis dictated by two fundamental materials properties: dielectric constant (ε) and hardness. The sensitivity is improved by a high dielectric constant and low hardness. This paper describes a novel material that combines a composite elastomeric polymer and single wall carbon nanotubes (SWCNTs). The optimum SWCNT loading in a polyurethane with 80A shore hardness was determined to be 0.1 vol% which delivered a high SNR and maintained its mechanical properties (hardness). Data collected from a shoe strain sensor array of this material can be used for automatic recognition of postures and activities, for characterization of extremity use, and to provide behavioral enhancing feedback to patients recovering from a stroke.


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