Real-time gait anomaly detection using 1D-CNN and LSTM
author
statement of authorship
Jakob Rostovski, Mohammad Hasan Ahmadilivani, Andrei Krivošei, Alar Kuusik, Muhammad Mahtab Alam
source
Digital Health and Wireless Solutions : First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7–8, 2024 : Proceedings, Part II
location of publication
Cham
publisher
year of publication
pages
p. 260-278
series
Communications in computer and information science ; 2084
conference name, date
NCDHWS 2024 : The First Nordic Conference on Digital Health and Wireless Solutions (NCDHWS), May 7–8, 2024
conference location
Oulu, Finland
ISSN
1865-0929
ISBN
978-3-031-59090-0
notes
Bibliogr.: 37 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
language
inglise
subject term
keyword
human gait
1D-CNN
classifier
Rostovski, J., Ahmadilivani, M. H., Krivošei, A., Kuusik, A., Alam, M. M. Real-time gait anomaly detection using 1D-CNN and LSTM // Digital Health and Wireless Solutions : First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7–8, 2024 : Proceedings, Part II. Cham : Springer, 2024. p. 260-278. (Communications in computer and information science ; 2084). https://doi.org/10.1007/978-3-031-59091-7_17