2019
DOI: 10.1007/978-3-030-32591-6_74
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A Fast Automatic Holoscopic 3D Micro-gesture Recognition System for Immersive Applications

Abstract: Immersive technology attempts to emulate a physical world through the means of a digital or simulated world. Micro-gestures are small variation actions on human hands defined by user that is one of the most convenient human action in immersive technology. Holoscopic 3D imaging uses bionics technology to capture spatial image in the pattern of fly's eye and it has fruitful 3D cubic information compared to 2D images that can be used for high accurate micro-gesture controller systems.In this paper, a new micro-ge… Show more

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Cited by 1 publication
(4 citation statements)
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“…Zhang et al [12] introduced image-based subset features together with the video-based data and combined several convolutional neural networks to obtain the final recognition result. Recently, Qin et al [5] proposed a method by combining LPQTOP features and a non-liner SVM classifier for recognition.…”
Section: Related Workmentioning
confidence: 99%
See 3 more Smart Citations
“…Zhang et al [12] introduced image-based subset features together with the video-based data and combined several convolutional neural networks to obtain the final recognition result. Recently, Qin et al [5] proposed a method by combining LPQTOP features and a non-liner SVM classifier for recognition.…”
Section: Related Workmentioning
confidence: 99%
“…82.0 Zhang et al [12] SeResNet50+M.V. 82.0 Qin et al [5] LPQTOP+n.SVM+mRMR 84.6 This work PVP25+D3D+M.V. 85.2…”
Section: Experiments 41 Databasementioning
confidence: 99%
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