An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing.
Xiaying WangMichael HerscheBatuhan TömekceBurak KayaMichele MagnoLuca BeniniPublished in: CoRR (2020)
Keyphrases
- low power
- motor imagery
- brain computer interface
- power consumption
- high speed
- low cost
- vlsi circuits
- logic circuits
- signal processing
- eeg signals
- image sensor
- low power consumption
- event related
- eeg data
- gate array
- brain signals
- spinal cord injury
- brain activity
- healthy subjects
- computer vision
- mixed signal
- real time
- evoked potentials
- pattern classification
- edge detection
- event related potentials
- neural network