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SVM Time series classification of selected gait abnormalities

author
statement of authorship
Jakob Rostovski, Andrei Krivošei, Alar Kuusik, Ulvi Ahmadov & Muhammad Mahtab Alam
source
BODYNETS 2021: Body Area Networks. Smart IoT and Big Data for Intelligent Health Management : 16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021 : proceedings
location of publication
Cham
publisher
year of publication
pages
15 p
series
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; 420
conference name, date
16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021
conference location
Glasgow, Great Britain
url
ISBN
978-3-030-95593-9 (online)
notes
Bibliogr.: 28 ref
scientific publication
teaduspublikatsioon
TTÜ department
language
inglise
Reserch Group
Research laboratory for cognitronics
Communication systems research group
Measurement electronics research group
Rostovski, J., Krivošei, A., Kuusik, A., Ahmadov, U., Alam, M.M. SVM Time series classification of selected gait abnormalities // BODYNETS 2021: Body Area Networks. Smart IoT and Big Data for Intelligent Health Management : 16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021 : proceedings. Cham : Springer, 2022. 15 p. (Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; 420). https://doi.org/10.1007/978-3-030-95593-9_16