Access the full text.
Sign up today, get DeepDyve free for 14 days.
(2013)
IEEE Proc
Aiguo Song, Yezhen Han, Haihua Hu, Jianqing Li (2014)
A Novel Texture Sensor for Fabric Texture Measurement and ClassificationIEEE Transactions on Instrumentation and Measurement, 63
(2014)
Trans
John Platt, N. Cristianini, J. Shawe-Taylor (1999)
Large Margin DAGs for Multiclass Classification
Abdel-rahman Mohamed, George Dahl, Geoffrey Hinton (2012)
Acoustic Modeling Using Deep Belief NetworksIEEE Transactions on Audio, Speech, and Language Processing, 20
Sungwoo Chun, Hyojin Jung, Yeonhoi Choi, G. Bae, J. Kil, W. Park (2015)
A tactile sensor using a graphene film formed by the reduced graphene oxide flakes and its detection of surface morphologyCarbon, 94
A. Drimus, G. Kootstra, A. Bilberg, D. Kragic (2014)
Design of a flexible tactile sensor for classification of rigid and deformable objectsRobotics Auton. Syst., 62
J. Sinapov, Vladimir Sukhoy, Ritika Sahai, A. Stoytchev (2011)
Vibrotactile Recognition and Categorization of Surfaces by a Humanoid RobotIEEE Transactions on Robotics, 27
Amanda Zimmerman, Ling Bai, D. Ginty (2014)
The gentle touch receptors of mammalian skinScience, 346
Jonathan Steuer (1992)
Defining virtual reality: dimensions determining telepresence
(2009)
This PDF file includes: Materials and Methods
Vladimir Vapni (1995)
The Nature of Statistical Learning Theory
Haihua Hu, Yezhen Han, Aiguo Song, Shanguang Chen, Chunhui Wang, Zheng Wang (2014)
A Finger-Shaped Tactile Sensor for Fabric Surfaces Evaluation by 2-Dimensional Active Sliding TouchSensors (Basel, Switzerland), 14
James Lee, Keun-Young Shin, Oug Cheong, J. Kim, J. Jang (2015)
Highly Sensitive and Multifunctional Tactile Sensor Using Free-standing ZnO/PVDF Thin Film with Graphene Electrodes for Pressure and Temperature MonitoringScientific Reports, 5
V. Abraira, D. Ginty (2013)
The Sensory Neurons of TouchNeuron, 79
U. Kressel (1999)
Pairwise classification and support vector machines
M. Hollins, S. Risner (2000)
Evidence for the duplex theory of tactile texture perceptionPerception & Psychophysics, 62
C. Choong, Mun-Bo Shim, Byoung-Sun Lee, S. Jeon, D. Ko, Tae‐Hyung Kang, Jihyun Bae, Sung Lee, Kyung‐Eun Byun, Jungkyun Im, Yong-Jin Jeong, Chan Park, Jong‐Jin Park, U. Chung (2014)
Highly Stretchable Resistive Pressure Sensors Using a Conductive Elastomeric Composite on a Micropyramid ArrayAdvanced Materials, 26
Zhe Qiang, Yuanzhong Zhang, Jesse Groff, Kevin Cavicchi, B. Vogt (2014)
A generalized method for alignment of block copolymer films: solvent vapor annealing with soft shear.Soft matter, 10 32
Alex Chortos, Jia Liu, Zhenan Bao (2016)
Pursuing prosthetic electronic skin.Nature materials, 15 9
Lijia Pan, Alex Chortos, Guihua Yu, Yaqun Wang, Scott Isaacson, R. Allen, Yi Shi, R. Dauskardt, Z. Bao (2014)
An ultra-sensitive resistive pressure sensor based on hollow-sphere microstructure induced elasticity in conducting polymer filmNature Communications, 5
Ejder Bastug, M. Bennis, M. Médard, M. Debbah (2017)
Toward Interconnected Virtual Reality: Opportunities, Challenges, and EnablersIEEE Communications Magazine, 55
George Dahl, Dong Yu, L. Deng, A. Acero (2012)
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionIEEE Transactions on Audio, Speech, and Language Processing, 20
R. Johansson, J. Flanagan (2009)
Coding and use of tactile signals from the fingertips in object manipulation tasksNature Reviews Neuroscience, 10
C. Farabet, C. Couprie, Laurent Najman, Yann LeCun (2013)
Learning Hierarchical Features for Scene LabelingIEEE Transactions on Pattern Analysis and Machine Intelligence, 35
The emulation of the tactile sense is presented with the encoding of a complex surface texture through an electrical sensor device. To achieve a functional capability comparable to a human mechanoreceptor, a tactile sensor is designed by employing a naturally formed porous structure of a graphene film. The inherent tactile patterns are achievable by means of proper analysis of the electrical signals that the sensor provides during the event of touching the interacting objects. It is confirmed that the pattern-recognition method using machine learning is suitable for quantifying human tactile sensations. The classification accuracy of the tactile sensor system is better than that of human touch for the tested fabric samples, which have a delicate surface texture.
Nanoscale – Royal Society of Chemistry
Published: May 29, 2018
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.