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-gesture recognition system based on holoscopic 3D imaging system is proposed for immersive applications. It is built on fast pre-processing, dynamic image feature extraction and a non-linear Support Vector Machine classifier. It is evaluated on the public Holoscopic Micro 3D Gesture (HoMG) dataset outperforming all the existing state-of-the-art methods on the same dataset.
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Qin, R. et al. (2020). A Fast Automatic Holoscopic 3D Micro-gesture Recognition System for Immersive Applications. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-030-32591-6_74
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DOI: https://doi.org/10.1007/978-3-030-32591-6_74
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