Hand gesture recognition using compact CNN via surface electromyography signals
文献类型：期刊论文
| 作者 | Chen, Lin1,3 ; Fu, Jianting1,3; Wu, Yuheng2,3; Li, Haochen1,3; Zheng, Bin3
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| 刊名 | Sensors (Switzerland)
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| 出版日期 | 2020 |
| 卷号 | 20期号:3 |
| ISSN号 | 14248220 |
| DOI | 10.3390/s20030672 |
| 英文摘要 | By training the deep neural network model, the hidden features in Surface Electromyography(sEMG) signals can be extracted. The motion intention of the human can be predicted by analysis of sEMG. However, the models recently proposed by researchers often have a large number of parameters. Therefore, we designed a compact Convolution Neural Network (CNN) model, which not only improves the classification accuracy but also reduces the number of parameters in the model. Our proposed model was validated on the Ninapro DB5 Dataset and the Myo Dataset. The classification accuracy of gesture recognition achieved good results. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. |
| 语种 | 英语 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/9852]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 作者单位 | 1.School of computer science and technology, University of Chinese Academy of Sciences, Beijing; 100049, China; 2.School of Mechatronical Engineering, Changchun University of Science and Technology, Changchun; 130022, China 3.Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing; 400700, China; |
| 推荐引用方式 GB/T 7714 | Chen, Lin,Fu, Jianting,Wu, Yuheng,et al. Hand gesture recognition using compact CNN via surface electromyography signals[J]. Sensors (Switzerland),2020,20(3). |
| APA | Chen, Lin,Fu, Jianting,Wu, Yuheng,Li, Haochen,&Zheng, Bin.(2020).Hand gesture recognition using compact CNN via surface electromyography signals.Sensors (Switzerland),20(3). |
| MLA | Chen, Lin,et al."Hand gesture recognition using compact CNN via surface electromyography signals".Sensors (Switzerland) 20.3(2020). |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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