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...

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Sensors
المؤلفون الرئيسيون:	Tat’y Mwata-Velu, Edson Niyonsaba-Sebigunda, Juan Gabriel Avina-Cervantes, Jose Ruiz-Pinales, Narcisse Velu-A-Gulenga, Adán Antonio Alonso-Ramírez
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2023-04-01
الموضوعات:	electroencephalogram motor imagery EEGNet NVIDIA Jetson TX2 brain–computer interface HaLT dataset
الوصول للمادة أونلاين:	https://www.mdpi.com/1424-8220/23/8/4164