Cargando…
UP-Fall Detection Dataset: A Multimodal Approach
Falls, especially in elderly persons, are an important health problem worldwide. Reliable fall detection systems can mitigate negative consequences of falls. Among the important challenges and issues reported in literature is the difficulty of fair comparison between fall detection systems and machi...
Autores principales: | Martínez-Villaseñor, Lourdes, Ponce, Hiram, Brieva, Jorge, Moya-Albor, Ernesto, Núñez-Martínez, José, Peñafort-Asturiano, Carlos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539235/ https://www.ncbi.nlm.nih.gov/pubmed/31035377 http://dx.doi.org/10.3390/s19091988 |
Ejemplares similares
-
Challenges and trends in multimodal fall detection for healthcare
por: Ponce, Hiram, et al.
Publicado: (2020) -
A Novel Artificial Organic Control System for Mobile Robot Navigation in Assisted Living Using Vision- and Neural-Based Strategies
por: Ponce, Hiram, et al.
Publicado: (2018) -
Editorial: Artificial intelligence in brain-computer interfaces and neuroimaging for neuromodulation and neurofeedback
por: Ponce, Hiram, et al.
Publicado: (2022) -
3D Hermite Transform Optical Flow Estimation in Left Ventricle CT Sequences
por: Mira, Carlos, et al.
Publicado: (2020) -
A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks
por: Ponce, Hiram, et al.
Publicado: (2016)