Name
Abstract | ||
|---|---|---|
Due to the complexity issue of the hand gesture recognition feature extraction, for example the variation of the light and background. In this paper, the convolution neural network is applied to the recognition of gestures, and the characteristics of convolution neural network are used to avoid the feature extraction process, reduce the number of parameters needs to be trained, and finally achieve the purpose of unsupervised learning. Error back propagation algorithm, is loaded into the convolution neural network algorithm, modify the threshold and weights of neural network to reduce the error of the model. In the classifier, the support vector machine that is added to optimize the classification function of the convolution neural network to improve the validity and robustness of the whole model. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s10586-017-1435-x | Cluster Computing |
Keywords | Field | DocType |
Convolutional neural networks, Error back propagation, Support vector machine, Hand gesture recognition | Pattern recognition,Computer science,Convolutional neural network,Support vector machine,Gesture recognition,Robustness (computer science),Feature extraction,Real-time computing,Unsupervised learning,Artificial intelligence,Backpropagation,Artificial neural network | Journal |
Volume | Issue | ISSN |
22 | SP2.0 | 1573-7543 |
Citations | PageRank | References |
12 | 0.51 | 20 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gongfa Li | 1 | 239 | 43.45 |
| Heng Tang | 2 | 30 | 1.49 |
| Ying Sun | 3 | 291 | 40.03 |
| Jianyi Kong | 4 | 39 | 1.89 |
| Guozhang Jiang | 5 | 172 | 27.25 |
| Du Jiang | 6 | 97 | 14.40 |
| Bo Tao | 7 | 52 | 2.43 |
| Shuang Xu | 8 | 274 | 32.53 |
| Honghai Liu | 9 | 1974 | 178.69 |