FPGA-based Deep-Learning Accelerators for Energy Efficient Motor Imagery EEG classification.
Daniel FloodNeethu RobinsonShanker ShreejithPublished in: COINS (2022)
Keyphrases
- motor imagery
- energy efficient
- deep learning
- eeg signals
- brain computer interface
- wireless sensor networks
- eeg data
- sensor networks
- energy consumption
- unsupervised learning
- machine learning
- routing protocol
- base station
- energy efficiency
- image classification
- blind source separation
- independent component analysis
- signal processing
- semi supervised
- brain activity
- pattern recognition
- data sets