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Detail publikace
HUSÁK, M. KACZMARCZYK, V. BAŠTÁN, O. BENEŠL, T.
Originální název
Application of body posture recognition algorithm in IoT smart mattress
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Our classification methods use machine learning methods to improve the accuracy of the detected position. Thanks to this, we can alert staff if necessary to prevent critical injuries and reduce treatment costs before damage occurs. Prevention is the only and best possible treatment for bedsores.
Klíčová slova
Pressure Ulcer, Posture classification, Fuzzy C – mean, Singular Value Decomposition, Neural Net Classifier
Autoři
HUSÁK, M.; KACZMARCZYK, V.; BAŠTÁN, O.; BENEŠL, T.
Vydáno
25. 10. 2021
Nakladatel
Selected Issues of Electrical Engineering and Electronics WZEE 2021
Místo
Polsko
ISBN
978-1-6654-2164-5
Kniha
Strany od
52
Strany do
55
Strany počet
3
URL
https://ieeexplore.ieee.org/document/9576991
BibTex
@inproceedings{BUT172840, author="Michal {Husák} and Václav {Kaczmarczyk} and Ondřej {Baštán} and Tomáš {Benešl}", title="Application of body posture recognition algorithm in IoT smart mattress", booktitle="Selected Issues of Electrical Engineering and Electronics WZEE 2021", year="2021", pages="52--55", publisher="Selected Issues of Electrical Engineering and Electronics WZEE 2021", address="Polsko", doi="10.1109/WZEE54157.2021.9576991", isbn="978-1-6654-2164-5", url="https://ieeexplore.ieee.org/document/9576991" }