Experimental Study on Improvement of Sign Language Motion Classification Performance Using Pre-trained Network Models.
Kaito KawaguchiZhizhong WangTomoki KuniwaPaporn DaraseneeyakulPhaphimon VeerakiatikitEiji OhtaHiromitsu NishimuraHiroshi TanakaPublished in: HCI (5) (2020)
Keyphrases
- experimental study
- sign language
- hand gestures
- sign recognition
- pre trained
- sign language recognition
- spatio temporal
- optical flow
- gesture recognition
- machine learning
- control signals
- neural network
- computer vision
- single image
- motion analysis
- supervised learning
- motion estimation
- motion patterns
- hidden markov models
- support vector
- feature selection
- data sets