A CSI-Based Human Activity Recognition Using Deep Learning
The Internet of Things (IoT) has become quite popular due to advancements in Information and Communications technologies and has revolutionized the entire research area in Human Activity Recognition (HAR). For the HAR task, vision-based and sensor-based methods can present better data but at the cos...
Guardado en:
Autores principales: | Parisa Fard Moshiri, Reza Shahbazian, Mohammad Nabati, Seyed Ali Ghorashi |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6c7a4b49c07e48fc96f6e35592b85b54 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions
por: Shahid Latif, et al.
Publicado: (2021) -
Integrated Circuit Board Object Detection and Image Augmentation Fusion Model Based on YOLO
por: Szu-Yin Lin, et al.
Publicado: (2021) -
A Smart Mirror for Emotion Monitoring in Home Environments
por: Simone Bianco, et al.
Publicado: (2021) -
Live Spoofing Detection for Automatic Human Activity Recognition Applications
por: Viktor Dénes Huszár, et al.
Publicado: (2021) -
Channel State Estimation in LTE-Based Heterogenous Networks Using Deep Learning
por: Krzysztof K. Cwalina, et al.
Publicado: (2021)