Implementation of an Autostereoscopic Virtual 3DButton in Non-contact Manner Using SimpleDeep Learning Network


Sang-Hee You, Min Hwang, Ki-Hoon Kim, Chang-Suk Cho, Journal of Information Processing Systems Vol. 17, No. 3, pp. 505-517, Jun. 2021  

10.3745/JIPS.02.0155
Keywords: AI, Deep Learning, Non-contact, Stereoscopic, Virtual Button, 3D
Fulltext:

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.


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Cite this article
[APA Style]
Sang-Hee You, Min Hwang, Ki-Hoon Kim, & Chang-Suk Cho (2021). Implementation of an Autostereoscopic Virtual 3DButton in Non-contact Manner Using SimpleDeep Learning Network. Journal of Information Processing Systems, 17(3), 505-517. DOI: 10.3745/JIPS.02.0155.

[IEEE Style]
S. You, M. Hwang, K. Kim and C. Cho, "Implementation of an Autostereoscopic Virtual 3DButton in Non-contact Manner Using SimpleDeep Learning Network," Journal of Information Processing Systems, vol. 17, no. 3, pp. 505-517, 2021. DOI: 10.3745/JIPS.02.0155.

[ACM Style]
Sang-Hee You, Min Hwang, Ki-Hoon Kim, and Chang-Suk Cho. 2021. Implementation of an Autostereoscopic Virtual 3DButton in Non-contact Manner Using SimpleDeep Learning Network. Journal of Information Processing Systems, 17, 3, (2021), 505-517. DOI: 10.3745/JIPS.02.0155.