Smartphone-based microkinematic feature analysis for mental fatigue detection using machine learning
author
Valla, Elli
Väli, Lilian
Nõmm, Sven
Toomela, Aaro
statement of authorship
Elli Valla, Lilian Väli, Sven Nõmm, Aaro Toomela
source
Cognition, Technology & Work
publisher
Springer
journal volume number month
vol. 27, 4
year of publication
2025
pages
26 p. : ill
url
https://doi.org/10.21203/rs.3.rs-6601096/v1
https://doi.org/10.1007/s10111-025-00829-2
subject term
tehisõpe
e-tervis
andmed
nutitelefonid
kinemaatika
väsimus (bioloogia)
arendustegevus
keyword
fatigue
machine learning
ne motor skills
microkinematics
smartphone application
eHealth
dataset
ISSN
2693-5015
notes
Bibliogr. p. 867-868
Avaldatakse: Computers in Biology and Medicine?
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/145523
https://www.scopus.com/pages/publications/105019751424?origin=resultslist
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=COGN%20TECHNOL%20WORK&year=2024
https://www.webofscience.com/wos/woscc/full-record/WOS:001600718100001
category (general)
Arts and humanities
Kunst ja humanitaarteadused
Computer science
Arvutiteadus
category (sub)
Arts and humanities. Philosophy
Kunst ja humanitaarteadused. Filosoofia
Computer science. Computer science applications
Arvutiteadus. Arvutiteaduse rakendused
Computer science. Human-computer interaction
Arvutiteadus. Inimese ja arvuti interaktsioon
TalTech department
tarkvarateaduse instituut
language
inglise