Abstract
We develop a real-time, robust and accurate sign language recognition system leveraging deep convolutional neural networks(DCNN). Our framework is able to prevent common problems such as error accumulation of existing frameworks and it outperforms state-of-the-art frameworks in terms of accuracy, recognition time and usability.
Original language | English |
---|---|
Title of host publication | SUI '16: Proceedings of the 2016 Symposium on Spatial User Interaction |
Publisher | Association for Computing Machinery |
Pages | 187 |
Number of pages | 1 |
ISBN (Electronic) | 9781450340687 |
DOIs | |
Publication status | Published - 2016 |
Externally published | Yes |
Keywords
- Convolutional neural networks
- Sign language recognition