Robust CNN architecture for classification of reach and grasp actions from neural correlates: an edge device perspective
(2023)
Journal Article
Sultan, H., Ijaz, H., Waris, A., Mushtaq, S., Mushtaq, K., Khan, N. B., …Iqbal, J. (2024). Robust CNN architecture for classification of reach and grasp actions from neural correlates: an edge device perspective. Measurement Science and Technology, 35(3), Article 035703. https://doi.org/10.1088/1361-6501/ad1157
Brain-computer interfaces (BCIs) systems traditionally use machine learning (ML) algorithms that require extensive signal processing and feature extraction. Deep learning (DL)-based convolutional neural networks (CNNs) recently achieved state-of-the-... Read More about Robust CNN architecture for classification of reach and grasp actions from neural correlates: an edge device perspective.