Low-Cost Embedded System Proposal for EMG Signals Recognition and Classification Using ARM Microcontroller and a High-Accuracy EMG Acquisition System.
Santiago Felipe Luna RomeroLuis Serpa-AndradePublished in: AHFE (13) (2020)
Keyphrases
- low cost
- emg signals
- high accuracy
- pattern recognition
- feature extraction
- classification accuracy
- recognition rate
- real time
- object recognition
- support vector machine
- pattern classification
- training set
- signal processing
- decision trees
- degrees of freedom
- d objects
- motor control
- dynamic environments
- feature space
- machine learning