Cargando…
Sensor-Based Human Activity Recognition with Spatio-Temporal Deep Learning
Human activity recognition (HAR) remains a challenging yet crucial problem to address in computer vision. HAR is primarily intended to be used with other technologies, such as the Internet of Things, to assist in healthcare and eldercare. With the development of deep learning, automatic high-level f...
Autores principales: | Nafea, Ohoud, Abdul, Wadood, Muhammad, Ghulam, Alsulaiman, Mansour |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003187/ https://www.ncbi.nlm.nih.gov/pubmed/33803891 http://dx.doi.org/10.3390/s21062141 |
Ejemplares similares
-
Efficient human activity recognition with spatio-temporal spiking neural networks
por: Li, Yuhang, et al.
Publicado: (2023) -
Activity Recognition for IoT Devices Using Fuzzy Spatio-Temporal Features as Environmental Sensor Fusion
por: López Medina, Miguel Ángel, et al.
Publicado: (2019) -
Intelligent attendance monitoring system with spatio-temporal human action recognition
por: Tsai, Ming-Fong, et al.
Publicado: (2022) -
Spatial Attention-Based 3D Graph Convolutional Neural Network for Sign Language Recognition
por: Al-Hammadi, Muneer, et al.
Publicado: (2022) -
Riemannian Spatio-Temporal Features of Locomotion for Individual Recognition
por: Zhang, Jianhai, et al.
Publicado: (2018)