Gesture sequence recognition with one shot learned CRF/HMM hybrid model.
Selma BelgacemClément ChatelainThierry PaquetPublished in: Image Vis. Comput. (2017)
Keyphrases
- hybrid model
- gesture recognition
- hidden markov models
- conditional random fields
- hand gestures
- hidden state
- artificial neural networks
- sequential data
- hand gesture recognition
- discrete hidden markov models
- recognition rate
- back propagation neural network
- support vector machine svm
- hybrid models
- sign language
- forward backward
- handwritten word recognition
- hidden states
- support vector regression
- pattern recognition
- handwritten text recognition
- human computer interaction
- american sign language
- object recognition
- crf model
- handwritten words
- forecasting accuracy
- hand postures
- speech recognition
- action recognition
- markov random field
- multi stream
- feature extraction
- recognition algorithm
- graphical models
- neural network
- data mining
- long term
- random fields
- character recognition
- human hand
- support vector machine
- information extraction
- data sets