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http://dx.doi.org/10.5302/J.ICROS.2012.18.3.188

A Biomimetic Artificial Neuron Matrix System Based on Carbon Nanotubes for Tactile Sensing of e-Skin  

Kim, Jong-Min (Pukyong National University)
Kim, Jin-Ho (Korea Ocean Research & Development Institute)
Cha, Ju-Young (Korea Institute of Machinery & Materials)
Kim, Sung-Yong (Pukyong National University)
Kang, In-Pil (Pukyong National University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.18, no.3, 2012 , pp. 188-192 More about this Journal
Abstract
In this study, a carbon nanotube (CNT) flexible strain sensor was fabricated with CNT based epoxy and rubber composites for tactile sensing. The flexible strain sensor can be fabricated as a long fibrous sensor and it also may be able to measure large deformation and contact information on a structure. The long and flexible sensor can be considered to be a continuous sensor like a dendrite of a neuron in the human body and we named the sensor as a biomimetic artificial neuron. For the application of the neuron in biomimetic engineering, an ANMS (Artificial Neuron Matrix System) was developed by means of the array of the neurons with a signal processing system. Moreover, a strain positioning algorithm was also developed to find localized tactile information of the ANMS with Labview for the application of an artificial e-skin.
Keywords
carbon nanotube; smart nanocomposite; strain sensor; tactile sensor; artificial neuron;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By SCOPUS : 1
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