Name
Abstract | ||
|---|---|---|
This paper presents a block-based embedded convolutional neural network (CNN) for gesture classification on field-programmable gate array (FPGA) in real time. Gesture recognition is an important tool to spontaneous interact with human machine interface. Many CNN architectures using RGB images have been proposed for gesture classification. RGB based gesture classification may cause incorrect result... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCSI.2021.3100109 | IEEE Transactions on Circuits and Systems I: Regular Papers |
Keywords | DocType | Volume |
Real-time systems,Field programmable gate arrays,Gesture recognition,Image color analysis,Feature extraction,Neural networks,Hardware | Journal | 68 |
Issue | ISSN | Citations |
10 | 1549-8328 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ching-Chen Wang | 1 | 0 | 0.34 |
| Yu-Chun Ding | 2 | 3 | 0.84 |
| Ching-Te Chiu | 3 | 304 | 38.60 |
| Chao-tsung Huang | 4 | 440 | 38.76 |
| Yen-Yu Cheng | 5 | 0 | 0.68 |
| Shih-Yi Sun | 6 | 0 | 0.34 |
| Chih-Han Cheng | 7 | 0 | 0.34 |
| Hsueh-Kai Kuo | 8 | 0 | 0.34 |