The Impact of Feature Extraction on Classification Accuracy Examined by Employing a Signal Transformer to Classify Hand Gestures Using Surface Electromyography Signals.
Aly Medhat MoslhiHesham H. AlyMedhat ElMessieryPublished in: Sensors (2024)
Keyphrases
- emg signals
- hand gestures
- feature extraction
- classification accuracy
- human computer interaction
- hand gesture recognition
- gesture recognition
- feature selection
- hilbert huang transform
- degrees of freedom
- motor control
- feature space
- feature set
- hand tracking
- signal processing
- signal analysis
- body motions
- sign language
- human hand
- image processing
- hand movements
- video camera
- recognition algorithm
- color segmentation
- training set
- extracted features
- frequency domain
- input device
- image classification
- face recognition
- feature vectors
- fault diagnosis
- single image
- wavelet transform
- d objects
- hand postures
- hidden markov models
- empirical mode decomposition
- palmprint
- gabor filters