Patient’s actions recognition in hospital’s recovery department based on RGB-D dataset
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-14200-4.pdf
Reference60 articles.
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3. Alazrai R, Momani M, Daoud MI (2017) Fall detection for elderly from partially observed depth-map video sequences based on view-invariant human activity representation. Appl Sci 7(4):316. https://doi.org/10.3390/app7040316
4. Arivazhagan S, Shebiah RN, Harini R, Swetha S (2019) Human action recognition from RGB-D data using complete local binary pattern. Cognitive Syst Res 58:94–104. https://doi.org/10.1016/j.cogsys.2019.05.002
5. Barone CP, Pablo CS, Barone GW (2003) A history of the PACU. J Peri Anesth Nurs 18(4):237–241. https://doi.org/10.1016/S1089-9472(03)00130-8
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