<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ajeev, Arya</style></author><author><style face="normal" font="default" size="100%">Javaregowda, Bharathkumar H.</style></author><author><style face="normal" font="default" size="100%">Ali, Ashik</style></author><author><style face="normal" font="default" size="100%">Modak, Mrudul</style></author><author><style face="normal" font="default" size="100%">Patil, Shreya</style></author><author><style face="normal" font="default" size="100%">Khatua, Saumyakanta</style></author><author><style face="normal" font="default" size="100%">Ramadoss, Marimuthu</style></author><author><style face="normal" font="default" size="100%">Kothavade, Premkumar Anil</style></author><author><style face="normal" font="default" size="100%">Arulraj, Arul Kashmir</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Ultrahigh sensitive carbon-based conducting rubbers for flexible and wearable human-machine intelligence sensing</style></title><secondary-title><style face="normal" font="default" size="100%">Advanced Materials Technologies</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">conducting rubbers</style></keyword><keyword><style  face="normal" font="default" size="100%">gauge factor</style></keyword><keyword><style  face="normal" font="default" size="100%">human&amp;\#8211</style></keyword><keyword><style  face="normal" font="default" size="100%">machine interfacing</style></keyword><keyword><style  face="normal" font="default" size="100%">voice recognition</style></keyword><keyword><style  face="normal" font="default" size="100%">wearable strain sensors</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">DEC</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">5</style></volume><pages><style face="normal" font="default" size="100%">2000690</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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 (approximate to 600 ms), ultra-high sensitivity (maximum gauge factor of 1.2 x 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.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">12</style></issue><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;5.969&lt;/p&gt;
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