Activity classification for real-time wearable systems : effect of window length, sampling frequency and number of features on classifier performance
author
Allik, Ardo
Pilt, Kristjan
Karai, Deniss
Fridolin, Ivo
Leier, Mairo
Jervan, Gert
statement of authorship
Ardo Allik, Kristjan Pilt, Deniss Karai, Ivo Fridolin, Mairo Leier, Gert Jervan
source
2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) : Kuala Lumpur, 4-8 December 2016
location of publication
[S.l.]
publisher
IEEE
year of publication
2016
pages
p. 460-464 : ill
conference name, date
2016 IEEE EMBS Conference on Biomedical Engineering and Sciences, 4-8 December, 2016
conference location
Kuala Lumpur, Malaysia
url
https://doi.org/10.1109/IECBES.2016.7843493
subject term
mobiilseadmed
arvutivõrgud
keyword
physical activity classification
sampling frequency
window length
classification features
activity trackers
wearable systems
ISBN
978-1-4673-7791-1
notes
Bibliogr.: 15 ref
TalTech department
biomeditsiinitehnika instituut
arvutitehnika instituut
language
inglise