Ultra-Sensitive Bio-Polymer Iontronic Sensors for Object Recognition from Tactile Feedback

Date

2023-01-01

Author

Çiçek, Melih Ögeday
Durukan, Mete Batuhan
Yıldız, Bayram
Keskin, Deniz
Doğanay, Doğa
Çınar, Simge
Çakır, Murat Perit
Ünalan, Hüsnü Emrah

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Supramolecular polymer gels show promise for use in batteries, supercapacitors, and multifunctional sensors. However, their poor stiffness and ionic conductivity hinder their large-scale utilization. Here, a cellulose-based supramolecular bio-polymer gel (SBPG) with high ionic conductivity and exceptional stiffness is reported. These properties have been translated into proof-of-concept iontronic pressure sensors with an ultra-high sensitivity of 1 475 000 kPa−1. The technological potential is demonstrated via fabrication of a prototype smart glove using only eight pressure sensors based on this novel gel. Smart glove sensors with 90% classification accuracy for object recognition are demonstrated using a tactile feedback algorithm.

Subject Keywords

flexible electronics, human–machine interfaces, iontronic pressure sensors, machine learning, object sensing

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85163023121&origin=inward
https://hdl.handle.net/11511/104565

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Department of Metallurgical and Materials Engineering, Article