Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review
author
Saboor, Abdul
Kask, Triin
Kuusik, Alar
Alam, Muhammad Mahtab
Le Moullec, Yannick
statement of authorship
Abdul Saboor, Triin Kask, Alar Kuusik, Muhammad Mahtab Alam, Yannick Le Moullec, Imran Khan Niazi, Ahmed Zoha, Rizwan Ahmad
source
IEEE Access
publisher
IEEE
journal volume number month
vol. 8
year of publication
2020
pages
art. 3022818, p. 167830−167864
url
https://doi.org/10.1109/ACCESS.2020.3022818
subject term
tehisõpe
kõnnak
käimistestid
andurid
biosensorid
meditsiinitehnoloogia
keyword
gait analysis
machine learning
wearable sensors
survey
medical applications
ISSN
2169-3536
notes
Bibliogr.: 202 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Engineering
en
Computer science
en
Materials science
en
Tehnika
et
Arvutiteadus
et
Materjaliteadus
et
category (sub)
Engineering. General engineering
en
Computer science. General computer science
en
Materials science. General materials science
en
Tehnika. Üldine inseneriteadus
et
Arvutiteadus. Üldine arvutiteadus
et
Materjaliteadus. Üldine materjaliteadus
et
kvartiil
Q1
TTÜ department
Thomas Johann Seebecki elektroonikainstituut
language
inglise
Uurimisrühm
Cognitronic lab-on-a-chip research group
Research laboratory for cognitronics
Communication systems research group