Cargando…
Validation of an Activity Type Recognition Model Classifying Daily Physical Behavior in Older Adults: The HAR70+ Model
Activity monitoring combined with machine learning (ML) methods can contribute to detailed knowledge about daily physical behavior in older adults. The current study (1) evaluated the performance of an existing activity type recognition ML model (HARTH), based on data from healthy young adults, for...
Autores principales: | Ustad, Astrid, Logacjov, Aleksej, Trollebø, Stine Øverengen, Thingstad, Pernille, Vereijken, Beatrix, Bach, Kerstin, Maroni, Nina Skjæret |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006863/ https://www.ncbi.nlm.nih.gov/pubmed/36904574 http://dx.doi.org/10.3390/s23052368 |
Ejemplares similares
-
The influence of motor tasks and cut-off parameter selection on artifact subspace reconstruction in EEG recordings
por: Anders, Phillipp, et al.
Publicado: (2020) -
Exergaming in older adults: the effects of game characteristics on brain activity and physical activity
por: Müller, Helen, et al.
Publicado: (2023) -
Balance Training in Older Adults Using Exergames: Game Speed and Cognitive Elements Affect How Seniors Play
por: Anders, Phillipp, et al.
Publicado: (2020) -
Experiences of Stroke Survivors and Clinicians With a Fully Immersive Virtual Reality Treadmill Exergame for Stroke Rehabilitation: A Qualitative Pilot Study
por: Moan, Merete Endresen, et al.
Publicado: (2021) -
Exergames Inherently Contain Cognitive Elements as Indicated by Cortical Processing
por: Anders, Phillipp, et al.
Publicado: (2018)