Publication detail

IN-BED POSTURE CLASSIFICATION

HUSÁK, M.

Original Title

IN-BED POSTURE CLASSIFICATION

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Our work aims to create a widely applicable platform that combines the measurement of in-bed position with another’s negative states. The mentioned data are multimodal. Therefore, we used the machine learning (ML) method to obtain the properties.

Keywords

Decubitus, Matrass, Machine Learning, Body posture classification

Authors

HUSÁK, M.

Released

27. 4. 2021

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních

Location

Brno

ISBN

978-80-214-5942-7

Book

STUDENT EEICT 2021

Edition

1

Edition number

27

URL

https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_1.pdf

BibTex

@inproceedings{BUT171452,
  author="Michal {Husák}",
  title="IN-BED POSTURE CLASSIFICATION",
  booktitle="STUDENT EEICT 2021",
  year="2021",
  series="1",
  number="27",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních",
  address="Brno",
  isbn="978-80-214-5942-7",
  url="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_1.pdf"
}