Comparison of time- and frequency-domain features for movement classification using data from wrist-worn sensors

Sarcevic Péter and Pletl Szilveszter and Kincses Zoltán: Comparison of time- and frequency-domain features for movement classification using data from wrist-worn sensors.
In: 2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY). IEEE, New York (NY), 000261-000266. (2017) ISBN 9781538638552; 9781538638569; 153863855X; 9781538638545

[thumbnail of repo_SISY2017.pdf] Text
repo_SISY2017.pdf - Submitted Version
Restricted access: Logged in users only

Download (278kB) | Request a copy
Creators:
Sarcevic Péter MTMT
Pletl Szilveszter MTMT
Kincses Zoltán MTMT
Item Type: Book Section
Date: 2017
Number of Pages: 6
Page Range: 000261-000266
ISBN: 9781538638552; 9781538638569; 153863855X; 9781538638545
Publisher: IEEE
Place of Publication: New York (NY)
Faculty/Unit: Faculty of Engineering
Faculty of Science and Informatics
Institution: University of Szeged (2000-)
Language: English
MTMT rekordazonosító: 3285173
DOI azonosító: https://doi.org/10.1109/SISY.2017.8080564
Related URLs:
Date Deposited: 2021. Mar. 03. 11:45
Last Modified: 2021. Mar. 03. 11:45
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/20661

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year