Jiabin Wang*, Kai Peng
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 345-363, 2020, DOI:10.32604/cmes.2020.011046
Abstract In many existing multi-view gait recognition methods based on images
or video sequences, gait sequences are usually used to superimpose and synthesize images and construct energy-like template. However, information may be lost
during the process of compositing image and capture EMG signals. Errors and the
recognition accuracy may be introduced and affected respectively by some factors
such as period detection. To better solve the problems, a multi-view gait recognition method using deep convolutional neural network and channel attention
mechanism is proposed. Firstly, the sliding time window method is used to capture EMG signals. Then, the back-propagation learning algorithm is used… More >
Login
Register
