Deep-Learning-Assisted Single-Pixel Imaging for Gesture Recognition in Consideration of Privacy
Author:
Affiliation:
1. Utsunomiya Univ.
2. Osaka Univ.
3. Tokushima Univ.
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
Link
https://www.jstage.jst.go.jp/article/transele/E105.C/2/E105.C_2021DII0002/_pdf
Reference40 articles.
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2. [2] H. Yamamoto, M. Yasui, M.S. Alvissalim, M. Takahashi, Y. Tomiyama, S. Suyama, and M. Ishikawa, “Floating display screen formed by AIRR (Aerial imaging by retro-reflection) for interaction in 3D space,” 2014 International Conference on 3D Imaging (IC3D), pp.1-5, IEEE, 2014. 10.1109/ic3d.2014.7032590
3. [3] N. Rossol, I. Cheng, and A. Basu, “A Multisensor Technique for Gesture Recognition Through Intelligent Skeletal Pose Analysis,” IEEE Trans. Human-Mach. Syst., vol.46, no.3, pp.350-359, 2016. 10.1109/thms.2015.2467212
4. [4] M. Nishihori, T. Izumi, Y. Nagano, M. Sato, T. Tsukada, A.E. Kropp, and T. Wakabayashi, “Development and clinical evaluation of a contactless operating interface for three-dimensional image-guided navigation for endovascular neurosurgery,” Int. J. Comput. Assist. Radiol. Surg., vol.16, pp.663-671, 2021. 10.1007/s11548-021-02330-3
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