Improving transient state myoelectric signal recognition in hand movement classification using gyroscopes.
Alexander BoschmannBarbara NofenMarco PlatznerPublished in: EMBC (2013)
Keyphrases
- feature extraction
- pattern recognition
- correct recognition
- automatic recognition
- object classification
- recognition accuracy
- feature selection
- decision trees
- support vector
- pattern classification
- recognition rate
- signal processing
- steady state
- handwritten digits
- non stationary
- machine learning
- state space
- object recognition
- recognition process
- supervised learning
- feature vectors
- classification method
- classification accuracy
- computer vision
- image sequences
- automatic classification
- character recognition
- feature space
- features extraction
- unsupervised learning
- support vector machine
- high recognition rate
- fall detection
- low error rates
- hand gestures
- classification algorithm
- high frequency
- frequency domain
- human computer interaction
- feature set
- knn