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quantized_deep4.py
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requirements.txt
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test.py
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Source Code

D. Flood, N. Robinson and S. Shreejith, "FPGA-based Deep-Learning Accelerators for Energy Efficient Motor Imagery EEG classification," 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2022, pp. 1-6, doi: 10.1109/COINS54846.2022.9854985.

TCD EEE MAI Project by Daniel Flood (MAI 2022)

Best Paper at IEEE COINS 2022

Best MAI Project for Daniel Flood

The project is supported by Nvidia HER Grant

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Source Code for "FPGA-based Deep-Learning Accelerators for Energy Efficient Motor Imagery EEG classification"".

doi.org/10.1109/COINS54846.2022.9854985

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