Gesture recognition using deep-learning in single-pixel-imaging with high-frame-rate display with latent random dot patterns-Reference-Cited by-同舟云学术

Gesture recognition using deep-learning in single-pixel-imaging with high-frame-rate display with latent random dot patterns

Published:2023-12-11 Issue: Volume: Page:
ISSN:1340-6000
Container-title:Optical Review
language:en
Short-container-title:Opt Rev

Author:

Takatsuka Hiroki,Yasugi Masaki^ORCID,Suyama Shiro,Yamamoto Hirotsugu^ORCID

Funder

Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

Subject

Atomic and Molecular Physics, and Optics

Link

https://link.springer.com/content/pdf/10.1007/s10043-023-00848-2.pdf

Reference17 articles.

1. Mitra, S., Acharya, T.: Gesture recognition: a survey. IEEE Trans Syst Man Cybern Part C 37(3), 311–324 (2007)

2. Yasui YM, Alvissalim MS, Takahashi M, Tomiyama Y, Suyama S, Ishikawa M. Floating display screen formed by AIRR (Aerial imaging by retro-reflection) for interaction in 3D space. In: 2014 International Conference on 3D Imaging (IC3D) (IEEE, 2014), pp. 1–5.

3. Rossol, N., Cheng, I., Basu, A.: A Multisensor technique for gesture recognition through intelligent skeletal pose analysis. IEEE Trans Hum Mach Syst 46, 350–359 (2016)

4. Nishihori, M., Izumi, T., Nagano, Y., Sato, M., Tsukada, T., Kropp, A.E., Wakabayashi, T.: Development and clinical evaluation of a contactless operating interface for three-dimensional image-guided navigation for endovascular neurosurgery. Int J Comput Assist Radiol Surg 16, 663–671 (2021)

5. Dai J, Wu J, Saghafi B, Konrad J, Ishwar P. Towards privacy-preserving activity recognition using extremely low temporal and spatial resolution cameras. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (IEEE, 2015), pp. 68–76.