THREE-DIMENSIONAL TOUCH RECOGNITION DEVICE USING DEEP LEARNING AND THREE-DIMENSIONAL TOUCH RECOGNITION METHOD USING SAME

WIPO Patent Application WO/2018/194227

A1

One embodiment of the present invention provides: a three-dimensional touch recognition device for enabling a user input to be performed on a soft elastic material, and various user inputs to be processed by being recognized and determined using deep learning; and a three-dimensional touch recognition method using same. The three-dimensional touch recognition device using deep learning, according to one embodiment of the present invention, comprises: an input unit provided with a sheet having a user input applied to the outer surface thereof, and having a function of being restored to the initial shape thereof when the user input is released; a plurality of markers arranged along the inner surface of the sheet; a capturing unit for collecting marker images which are images of markers changing according to the user input; a lighting unit for irradiating light towards the inner surface of the sheet; and an analysis unit for generating a three-dimensional pattern by analyzing the marker images, and outputting a deep learning result value by means of a repetitive operation of inputting data associated with the three-dimensional pattern in a deep learning algorithm.

LEE SU WOONG (KR)
KWON SOON O (KR)
AN HEE KYUNG (KR)
LEE KANG WON (KR)
LEE JONG IL (KR)

PCT/KR2017/011272

October 25, 2018

October 12, 2017

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KOREA INST IND TECH (KR)

G06F3/041; G06F3/042; G06K9/00; G06N3/08; G08B5/22

KR101396203B1	2014-05-19
JP2009087264A	2009-04-23
KR20110084028A	2011-07-21
KR20080044690A	2008-05-21
KR20120060548A	2012-06-12

HAN, Sang Soo (KR)

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