Subject
Health Informatics,Signal Processing
Reference29 articles.
1. A.A. Neacsu, G. Cioroiu, A. Radoi, C. Burileanu, Automatic EMG-based hand gesture recognition system using time-domain descriptors and fully-connected neural networks, in: 2019 42nd Int. Conf. Telecommun. Signal Process. TSP 2019. (2019) 232–235. https://doi.org/10.1109/TSP.2019.8768831.
2. P. Tsinganos, B. Cornelis, J. Cornelis, B. Jansen, A. Skodras, Improved gesture recognition based on sEMG signals and TCN, in: ICASSP IEEE Int. Conf. Acoust. Speech Signal Process. - Proc. 2019-May (2019) 1169–1173. https://doi.org/10.1109/ICASSP.2019.8683239.
3. Deep learning for electromyographic hand gesture signal classification using transfer learning;Cote-Allard;IEEE Trans. Neural Syst. Rehabil. Eng.,2019
4. ImageNet classification with deep convolutional neural networks;Krizhevsky;Commun. ACM,2017
5. Domain adaptation for sEMG-based gesture recognition with recurrent neural networks;Ketyko;Proc. Int. Jt. Conf. Neural Networks,2019
Cited by
33 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献