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

Metadata

Show full item record

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

Item Usage Stats

45
views

9
downloads

Cite This

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

Collections

Department of Metallurgical and Materials Engineering, Article