Journal
NANOSCALE
Volume 10, Issue 22, Pages 10545-10553Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/c8nr00595h
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Funding
- National Research Foundation of Korea [2016M3A7B4910400]
- National Research Foundation of Korea [2012M3A7B4035200] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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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.
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