Implementation of an Autostereoscopic Virtual 3D Button in Non-contact Manner Using Simple Deep Learning Network
This research presented an implementation of autostereoscopic virtual three-dimensional (3D) button device asnon-contact style. The proposed device has several characteristics about visible feature, non-contact use andartificial intelligence (AI) engine. The device was designed to be contactless to...
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Veröffentlicht in: | Journal of information processing systems 2021, 17(3), 69, pp.505-517 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This research presented an implementation of autostereoscopic virtual three-dimensional (3D) button device asnon-contact style. The proposed device has several characteristics about visible feature, non-contact use andartificial intelligence (AI) engine. The device was designed to be contactless to prevent virus contaminationand consists of 3D buttons in a virtual stereoscopic view. To specify the button pressed virtually by fingertippointing, a simple deep learning network having two stages without convolution filters was designed. Asconfirmed in the experiment, if the input data composition is clearly designed, the deep learning network doesnot 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. KCI Citation Count: 0 |
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ISSN: | 1976-913X 2092-805X |
DOI: | 10.3745/JIPS.02.0155 |