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A Simple Fabrication, Low Noise, Capacitive Tactile Sensor for Use in Inexpensive and Smart Healthcare Systems
Fudan Univ, China.ORCID iD: 0000-0001-6750-7971
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA;DISA-IDP;DISA-SIG)ORCID iD: 0000-0002-2487-0866
Fudan Univ, China.
Fudan Univ, China.ORCID iD: 0000-0002-0559-3904
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2022 (English)In: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 22, no 9, p. 9069-9077Article in journal (Refereed) Published
Abstract [en]

Tactile sensors are among the most important devices used in industrial and biomedical fields. Sensors' profiles are significantly affected by their structures and material used. This article presents a robust, low-cost, low noise, accurate and simple fabrication capacitive tactile sensor as a single taxel fabricated on foam. This highly scalable design provides excellent noise immunity, accuracy, and due to a unique printable elastic conductor, it is flexible and stretchable with more than 200% strain. Furthermore, the taxel is based on the capacitive Wheatstone bridge. As a result, noise immunity and stability in case of temperature fluctuation is accomplished. Additionally, the sensor's innovative, simple fabrication, made of Polyurethane foam and printable elastic conductor, allows the system to adapt and achieve relevant results necessary for the purpose of the sensor's application. Therefore, the proposed sensor has potential applications in industrial and biomedical contexts, such as sleep monitoring, etc.

Place, publisher, year, edition, pages
IEEE, 2022. Vol. 22, no 9, p. 9069-9077
Keywords [en]
Sensors, Capacitive sensors, Capacitance, Tactile sensors, Pressure sensors, Sensor phenomena and characterization, Hysteresis, Capacitive pressure sensor, tactile sensor, capacitive Wheatstone bridge, low-noise, sensitized equipment, Internet of Things (IoT)
National Category
Computer and Information Sciences Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Computer and Information Sciences Computer Science, Computer Science; Physics, Electrotechnology
Identifiers
URN: urn:nbn:se:lnu:diva-115272DOI: 10.1109/JSEN.2022.3159610ISI: 000817164000078Scopus ID: 2-s2.0-85126526698OAI: oai:DiVA.org:lnu-115272DiVA, id: diva2:1682208
Available from: 2022-07-08 Created: 2022-07-08 Last updated: 2023-04-06Bibliographically approved

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Ghayvat, Hemant

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