An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing.
Xiaying WangMichael HerscheBatuhan TömekceBurak KayaMichele MagnoLuca BeniniPublished in: MeMeA (2020)
Keyphrases
- low power
- motor imagery
- brain computer interface
- power consumption
- low cost
- high speed
- logic circuits
- eeg signals
- mixed signal
- vlsi circuits
- healthy subjects
- edge detection
- event related
- cmos technology
- low power consumption
- brain signals
- eeg data
- image sensor
- signal processing
- gate array
- real time
- blind source separation
- computer vision