Analysis of Influence of Segmentation, Features, and Classification in sEMG Processing: A Case Study of Recognition of Brazilian Sign Language Alphabet.
José Jair A. Mendes JuniorMelissa L. B. FreitasDaniel Prado de CamposFelipe Adalberto FarinelliSergio Luiz Stevan Jr.Sérgio Francisco PichorimPublished in: Sensors (2020)
Keyphrases
- sign language
- sign recognition
- features extraction
- feature extraction
- sign language recognition
- feature vectors
- classification accuracy
- gesture recognition
- feature analysis
- feature extraction and classification
- hand tracking
- automatic recognition
- feature set
- american sign language
- hand gestures
- feature space
- image analysis
- feature selection
- object recognition
- image classification
- high speed
- recognition rate
- image segmentation