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http://dx.doi.org/10.3745/JIPS.02.0155

Implementation of an Autostereoscopic Virtual 3D Button in Non-contact Manner Using Simple Deep Learning Network  

You, Sang-Hee (Division of Information & Telecommunication, Hanshin University)
Hwang, Min (IVSYS Co.)
Kim, Ki-Hoon (IVSYS Co.)
Cho, Chang-Suk (Division of Information & Telecommunication, Hanshin University)
Publication Information
Journal of Information Processing Systems / v.17, no.3, 2021 , pp. 505-517 More about this Journal
Abstract
This research presented an implementation of autostereoscopic virtual three-dimensional (3D) button device as non-contact style. The proposed device has several characteristics about visible feature, non-contact use and artificial intelligence (AI) engine. The device was designed to be contactless to prevent virus contamination and consists of 3D buttons in a virtual stereoscopic view. To specify the button pressed virtually by fingertip pointing, a simple deep learning network having two stages without convolution filters was designed. As confirmed in the experiment, if the input data composition is clearly designed, the deep learning network does not need to be configured so complexly. As the results of testing and evaluation by the certification institute, the proposed button device shows high reliability and stability.
Keywords
AI; Deep Learning; Non-contact; Stereoscopic; Virtual Button; 3D;
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