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Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain-Machine Interfaces.
Tibor Schneider
Xiaying Wang
Michael Hersche
Lukas Cavigelli
Luca Benini
Published in:
CoRR (2020)
Keyphrases
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motor imagery
bit parallel
brain computer interface
eeg signals
brain activity
parallel implementation
human brain
wireless sensor networks
eeg data
neural network
edge detection
edge information
machine learning
image processing
energy efficient
online training