Cargando…
An Intelligent Non-Invasive Real-Time Human Activity Recognition System for Next-Generation Healthcare
Human motion detection is getting considerable attention in the field of Artificial Intelligence (AI) driven healthcare systems. Human motion can be used to provide remote healthcare solutions for vulnerable people by identifying particular movements such as falls, gait and breathing disorders. This...
Autores principales: | Taylor, William, Shah, Syed Aziz, Dashtipour, Kia, Zahid, Adnan, Abbasi, Qammer H., Imran, Muhammad Ali |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248832/ https://www.ncbi.nlm.nih.gov/pubmed/32384716 http://dx.doi.org/10.3390/s20092653 |
Ejemplares similares
-
Intelligent Reflecting Surface-Based Non-LOS Human Activity Recognition for Next-Generation 6G-Enabled Healthcare System
por: Saeed, Umer, et al.
Publicado: (2022) -
Radar Sensing for Activity Classification in Elderly People Exploiting Micro-Doppler Signatures Using Machine Learning
por: Taylor, William, et al.
Publicado: (2021) -
Public Perception of the Fifth Generation of Cellular Networks (5G) on Social Media
por: Dashtipour, Kia, et al.
Publicado: (2021) -
A Review of the State of the Art in Non-Contact Sensing for COVID-19
por: Taylor, William, et al.
Publicado: (2020) -
Evaluation of deep learning models in contactless human motion detection system for next generation healthcare
por: Song, Yukai, et al.
Publicado: (2022)