A BiLSTM and CTC Based Multi-Sensor Information Fusion Frame for Continuous Sign Language Recognition
Author:
Affiliation:
1. School of Automation Science and Engineering, South China University of Technology,Guangzhou,China
2. School of Artificial Intelligence, Chongqing Technology and Business University,Chongqing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10607154/10607163/10607314.pdf?arnumber=10607314
Reference25 articles.
1. A Chinese sign language recognition system based on SOFM/SRN/HMM
2. Modelling and segmenting subunits for sign language recognition based on hand motion analysis
3. Two streams Recurrent Neural Networks for Large-Scale Continuous Gesture Recognition
4. A Closer Look at Spatiotemporal Convolutions for Action Recognition
5. Stochastic Fine-Grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition
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