CNN-Based Detection and Classification of Grasps Relevant for Worker Support Scenarios Using sEMG Signals of Forearm Muscles.
Christophe MaufroyDaniel BargmannPublished in: SMC (2018)
Keyphrases
- detection method
- pattern recognition
- feature space
- eeg signals
- signal detection
- machine learning
- feature selection
- decision trees
- classification accuracy
- automatic detection
- detection rate
- classification method
- classification scheme
- false alarms
- learning scenarios
- text classification
- mammogram images
- supervised learning
- convolutional neural network
- multi class
- end users
- digital mammograms
- cellular neural networks
- noisy environments
- real world
- phase locked
- degrees of freedom
- pattern classification
- false positives
- human computer interaction
- anomaly detection
- signal processing
- object detection
- support vector machine