Cargando…
Motor Imagery Multi-Tasks Classification for BCIs Using the NVIDIA Jetson TX2 Board and the EEGNet Network
Nowadays, Brain–Computer Interfaces (BCIs) still captivate large interest because of multiple advantages offered in numerous domains, explicitly assisting people with motor disabilities in communicating with the surrounding environment. However, challenges of portability, instantaneous processing ti...
Autores principales: | Mwata-Velu, Tat’y, Niyonsaba-Sebigunda, Edson, Avina-Cervantes, Juan Gabriel, Ruiz-Pinales, Jose, Velu-A-Gulenga, Narcisse, Alonso-Ramírez, Adán Antonio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145994/ https://www.ncbi.nlm.nih.gov/pubmed/37112504 http://dx.doi.org/10.3390/s23084164 |
Ejemplares similares
-
IoT Projects with NVIDIA Jetson Nano: AI-Enabled Internet of Things Projects for Beginners
por: Kurniawan, Agus
Publicado: (2020) -
Run Your 3D Object Detector on NVIDIA Jetson Platforms:A Benchmark Analysis †
por: Choe, Chungjae, et al.
Publicado: (2023) -
A comparative analysis of near-infrared image colorization methods for low-power NVIDIA Jetson embedded systems
por: Shi, Shengdong, et al.
Publicado: (2023) -
Incep-EEGNet: A ConvNet for Motor Imagery Decoding
por: Riyad, Mouad, et al.
Publicado: (2020) -
A Low-Power Wireless System for Predicting Early Signs of Sudden Cardiac Arrest Incorporating an Optimized CNN Model Implemented on NVIDIA Jetson
por: Kota, Venkata Deepa, et al.
Publicado: (2023)