Cargando…
Activity Recognition for Ambient Assisted Living with Videos, Inertial Units and Ambient Sensors
Worldwide demographic projections point to a progressively older population. This fact has fostered research on Ambient Assisted Living, which includes developments on smart homes and social robots. To endow such environments with truly autonomous behaviours, algorithms must extract semantically mea...
Autores principales: | Ranieri, Caetano Mazzoni, MacLeod, Scott, Dragone, Mauro, Vargas, Patricia Amancio, Romero , Roseli Aparecida Francelin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865705/ https://www.ncbi.nlm.nih.gov/pubmed/33498829 http://dx.doi.org/10.3390/s21030768 |
Ejemplares similares
-
Deep Sensing: Inertial and Ambient Sensing for Activity Context Recognition Using Deep Convolutional Neural Networks
por: Otebolaku, Abayomi, et al.
Publicado: (2020) -
FEA and Machine Learning Techniques for Hidden Structure Analysis †
por: Shi, Xijin, et al.
Publicado: (2021) -
Wireless Sensor Networks for Ambient Assisted Living
por: Aquino-Santos, Raúl, et al.
Publicado: (2013) -
Inferring Human Activity Recognition with Ambient Sound on Wireless Sensor Nodes
por: Salomons, Etto L., et al.
Publicado: (2016) -
Neural Networks for Automatic Posture Recognition in Ambient-Assisted Living
por: Guerra, Bruna Maria Vittoria, et al.
Publicado: (2022)