Publication result detail

Application of body posture recognition algorithm in IoT smart mattress

HUSÁK, M.; KACZMARCZYK, V.; BAŠTÁN, O.; BENEŠL, T.

Original Title

Application of body posture recognition algorithm in IoT smart mattress

English Title

Application of body posture recognition algorithm in IoT smart mattress

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

Pressure Ulcer, Posture classification, Fuzzy C – mean, Singular Value Decomposition, Neural Net Classifier

Key words in English

Pressure Ulcer, Posture classification, Fuzzy C – mean, Singular Value Decomposition, Neural Net Classifier

Authors

HUSÁK, M.; KACZMARCZYK, V.; BAŠTÁN, O.; BENEŠL, T.

RIV year

2022

Released

25.10.2021

Publisher

Selected Issues of Electrical Engineering and Electronics WZEE 2021

Location

Polsko

ISBN

978-1-6654-2164-5

Book

Selected Issues of Electrical Engineering and Electronics WZEE 2021

Pages from

52

Pages to

55

Pages count

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"
}