Cargando…
A Wavelet-Based Approach to Fall Detection
Falls among older people are a widely documented public health problem. Automatic fall detection has recently gained huge importance because it could allow for the immediate communication of falls to medical assistance. The aim of this work is to present a novel wavelet-based approach to fall detect...
Autores principales: | Palmerini, Luca, Bagalà, Fabio, Zanetti, Andrea, Klenk, Jochen, Becker, Clemens, Cappello, Angelo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482005/ https://www.ncbi.nlm.nih.gov/pubmed/26007719 http://dx.doi.org/10.3390/s150511575 |
Ejemplares similares
-
Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls
por: Bagalà, Fabio, et al.
Publicado: (2012) -
Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls
por: Palmerini, Luca, et al.
Publicado: (2020) -
Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets
por: Aziz, Omar, et al.
Publicado: (2017) -
Quasi-Real Time Estimation of Angular Kinematics Using Single-Axis Accelerometers
por: Caroselli, Alessio, et al.
Publicado: (2013) -
FRAT-up, a Web-based Fall-Risk Assessment Tool for Elderly People Living in the Community
por: Cattelani, Luca, et al.
Publicado: (2015)