täiskirje prindi

Activity classification for real-time wearable systems : effect of window length, sampling frequency and number of features on classifier performance

autor
vastutusandmed
Ardo Allik, Kristjan Pilt, Deniss Karai, Ivo Fridolin, Mairo Leier, Gert Jervan
allikas
ilmumiskoht
[S.l.]
kirjastus/väljaandja
ilmumisaasta
leheküljed
p. 460-464 : ill
konverentsi nimetus, aeg
2016 IEEE EMBS Conference on Biomedical Engineering and Sciences, 4-8 December, 2016
konverentsi toimumispaik
Kuala Lumpur, Malaysia
leitav
ISBN
978-1-4673-7791-1
märkused
Bibliogr.: 15 ref
TTÜ struktuuriüksus
keel
inglise
märksõna
võtmesõna
physical activity classification
sampling frequency
window length
classification features
activity trackers
wearable systems
Allik, A., Pilt, K., Karai, D., Fridolin, I., Leier, M., Jervan, G. Activity classification for real-time wearable systems : effect of window length, sampling frequency and number of features on classifier performance // 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) : Kuala Lumpur, 4-8 December 2016. [S.l.] : IEEE, 2016. p. 460-464 : ill. https://doi.org/10.1109/IECBES.2016.7843493