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Ultrahigh Sensitive Carbon‐Based Conducting Rubbers for Flexible and Wearable Human–Machine Intelligence Sensing
Author(s) -
Ajeev Arya,
Javaregowda Bharathkumar H.,
Ali Ashik,
Modak Mrudul,
Patil Shreya,
Khatua Saumyakanta,
Ramadoss Marimuthu,
Kothavade Premkumar Anil,
Arulraj Arul Kashmir
Publication year - 2020
Publication title -
advanced materials technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.184
H-Index - 42
ISSN - 2365-709X
DOI - 10.1002/admt.202000690
Subject(s) - gauge factor , wearable computer , flexibility (engineering) , strain gauge , materials science , scalability , computer science , wearable technology , human–machine system , nanotechnology , artificial intelligence , embedded system , medicine , statistics , alternative medicine , mathematics , pathology , database , fabrication , composite material
The wearable strain sensors with multifunctional applications can fuel the rapid development of human–machine intelligence for various sectors like healthcare, soft robotics, and Internet of Things applications. However, achieving the low‐cost and mass production of wearable sensors with ultra‐high performance remains challenging. Herein, a simple, cost‐effective, and scalable methodology to fabricate the flexible and highly sensitive strain sensors using carbon black and latex rubbers (LR) is presented. The LR‐based strain sensor demonstrates excellent flexibility, fast response (≈600 ms), ultra‐high sensitivity (maximum gauge factor of 1.2 × 10 4 at 250% strain), and long‐term stability over 1000 cycles. The LR‐based strain sensors are sensitive to monitor subtle human motions such as heart pulse rate and voice recognition along with high‐strain human joint operations. Additionally, the sensing mechanism of LR bands is investigated by surface topographies and electromechanical response under various strained/unstrained conditions. Further, a smart glove‐based sensor module made of LR strain bands with an Arduino reader for the human–machine intelligence device for non‐verbal communication in military applications is demonstrated.