Pressure based tactile sensing is an essential part of how humans interact with their environment. Taking inspiration from a structure naturally optimized to sense force, the human fingertip, this work presents a fingerprint design carbon-black and ecoflex based capacitive pressure sensor. The finagrprint sensor shows a sensitivity improved from $2.94 10^-4Pa^=1$ to $1.48 10^-3Pa^-1$ when compared to an unstructured reference device. The sensor is furthermore compared to simulations and evaluated under receptive loading cycles.
%0 Conference Paper
%1 10220400
%A Johnson, Alexander
%A Kumar, Nimal Jagadeesh
%A Pouryazdan, Arash
%A Münzenrieder, Niko
%B 2023 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)
%D 2023
%K myown
%P 1-4
%R 10.1109/FLEPS57599.2023.10220400
%T Capacitive Pressure Sensors Utilizing a Conductive Human Fingerprint Microstructure
%U https://ieeexplore.ieee.org/document/10220400/
%X Pressure based tactile sensing is an essential part of how humans interact with their environment. Taking inspiration from a structure naturally optimized to sense force, the human fingertip, this work presents a fingerprint design carbon-black and ecoflex based capacitive pressure sensor. The finagrprint sensor shows a sensitivity improved from $2.94 10^-4Pa^=1$ to $1.48 10^-3Pa^-1$ when compared to an unstructured reference device. The sensor is furthermore compared to simulations and evaluated under receptive loading cycles.
@inproceedings{10220400,
abstract = {Pressure based tactile sensing is an essential part of how humans interact with their environment. Taking inspiration from a structure naturally optimized to sense force, the human fingertip, this work presents a fingerprint design carbon-black and ecoflex based capacitive pressure sensor. The finagrprint sensor shows a sensitivity improved from $2.94 \times 10^{-4}{\mathrm{P}}\mathrm{a}^{=1}$ to $1.48 \times 10^{-3}\text{Pa}^{-1}$ when compared to an unstructured reference device. The sensor is furthermore compared to simulations and evaluated under receptive loading cycles.},
added-at = {2023-09-12T14:49:06.000+0200},
author = {Johnson, Alexander and Kumar, Nimal Jagadeesh and Pouryazdan, Arash and Münzenrieder, Niko},
biburl = {https://www.bibsonomy.org/bibtex/2593c36086c3a935a5e2dd9a2f1aa9f1c/nikomu},
booktitle = {2023 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)},
doi = {10.1109/FLEPS57599.2023.10220400},
interhash = {152e19c1bd2928720933aae3ecdf74c7},
intrahash = {593c36086c3a935a5e2dd9a2f1aa9f1c},
issn = {2832-8256},
keywords = {myown},
month = {July},
pages = {1-4},
timestamp = {2023-09-12T14:49:06.000+0200},
title = {Capacitive Pressure Sensors Utilizing a Conductive Human Fingerprint Microstructure},
url = {https://ieeexplore.ieee.org/document/10220400/},
year = 2023
}