Cargando…
Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data
The physiological monitoring of older people using wearable sensors has shown great potential in improving their quality of life and preventing undesired events related to their health status. Nevertheless, creating robust predictive models from data collected unobtrusively in home environments can...
Autores principales: | Papagiannaki, Aimilia, Zacharaki, Evangelia I., Kalouris, Gerasimos, Kalogiannis, Spyridon, Deltouzos, Konstantinos, Ellul, John, Megalooikonomou, Vasileios |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412200/ https://www.ncbi.nlm.nih.gov/pubmed/30791587 http://dx.doi.org/10.3390/s19040880 |
Ejemplares similares
-
Integrating an openEHR-based personalized virtual model for the ageing population within HBase
por: Kalogiannis, Spyridon, et al.
Publicado: (2019) -
Spike pattern recognition by supervised classification in low dimensional embedding space
por: Zacharaki, Evangelia I., et al.
Publicado: (2016) -
EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation
por: Amidi, Afshine, et al.
Publicado: (2018) -
Recognizing Hemiparetic Ankle Deficits Using Wearable Pressure Sensors
Publicado: (2019) -
Modular Bayesian Networks with Low-Power Wearable Sensors for Recognizing Eating Activities
por: Kim, Kee-Hoon, et al.
Publicado: (2017)