...Jinchao Huang Purpose Recently, the convolutional neural network (ConvNet) has a wide application in the classification of motor imagery EEG signals. However, the low signal-to-noise electroencephalogram (EEG) signals are collected under the interference of noises. However, the conventional...

...G. Merlin Linda; N.V.S. Sree Rathna Lakshmi; N. Senthil Murugan; Rajendra Prasad Mahapatra; V. Muthukumaran; M. Sivaram Purpose The paper aims to introduce an intelligent recognition system for viewpoint variations of gait and speech. It proposes a convolutional neural network-based capsule...

... convolutional neural networks (TS-CNN) model. Design/methodology/approach According to the proposed algorithm, a five-layer neural network model was constructed to classify the electroencephalogram (EEG) signals. Firstly, the author designed a motor imagery-based BCI experiment, and four subjects were...