Brief introduction of results
Pressure sensors are an important device in everyday life, especially for the monitoring of physiological signals. However, smart pressure sensors require higher sensitivity, large linear ranges, in situ signal processing, and automated analysis. In this paper, researchers such as Zhou Jianhua of Central South University and Ren Tianling of Tsinghua University published a book in J. Mater. Chem. A" published a paper titled "Intelligent Nanomesh-Reinforced Graphene Pressure Sensor with Ultra Large Linear Range" that studied the design and implementation of nano-mesh reinforced graphene pressure sensors (NRGPS) inspired by reinforced concrete structures with excellent mechanical properties and moisture permeability. Unlike negative resistance pressure sensors, the resistance of the NRGPS increases at larger pressures, greatly increasing the measurement range.
NRGPS uses a nano-mesh skeleton with super linearity (1 MPa), high sensitivity (4.19 kPa-1), and excellent stability (more than 10,000 cycles). To explain the sensing mechanism of NRGPS, a finite element model is proposed from the microstructure of nanonet-enhanced graphene. NRGPS has the advantages of high linearity and high sensitivity, and can simulate mechanical MOSFETs to achieve in-situ amplification of pulse signals. Finally, by combining NRGPS with convolutional neural networks, an intelligent haptic sensor is realized. Convex Braille numbers can be identified by intelligent tactile sensors with an accuracy rate of 88%. This work has potential in the field of intelligent diagnostics and haptic reconstruction.
Illustrated reading
Figure 1. Nanogrid reinforces the design, preparation and properties of graphene.
Figure 2. Characterization of nano-mesh enhanced graphene
Figure 3. Nano mesh enhances graphene's water vapor permeability, stability and skin compatibility.
Figure 4. Electromechanical properties of NRGPS.
Figure 5. Sensing mechanism and simulation of NRGPSs.
Figure 6. MoSFETs mimic NRGPS to detect pulses
Figure 7. The NRGPS acts as an intelligent haptic sensor for recognizing convex Braille numbers
Table 1. Compare the sensitivity and linear pressure range of NRGPS and recently released flexible pressure sensors
brief summary
Intelligent NRGPS can amplify the pulse signal in situ to assist in TCM pulse diagnosis. Combined with the CNN algorithm, smart NRGPS can also be used as a haptic sensor to recognize Braille numbers. This work has great potential in the field of intelligent diagnostics, human-computer interaction, and helping people with disabilities reconstruct their sense of touch.
literature:
DOI: 10.1039/D1TA09813F