Multi-feature gait recognition with DNN based on sEMG signals

DOI10.3934/MBE.2021177zbMath1471.92053OpenAlexW3158745887MaRDI QIDQ1984095

Farong Gao, Qizhong Zhang, Yuliang Ma, Ting Yao

Publication date: 13 September 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2021177

zbMATH Keywords

gait recognitiondeep neural network (DNN)multi-feature fusionrobustness and stability

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Biomedical imaging and signal processing (92C55) Biomechanics (92C10)

Cites Work

• Support-vector networks
• Adaptive wavelet thresholding for image denoising and compression
• The dynamics of human gait
• Reducing the Dimensionality of Data with Neural Networks
• Efficient Image Denoising Method Based on a New Adaptive Wavelet Packet Thresholding Function
• A Fast Learning Algorithm for Deep Belief Nets

This page was built for publication: Multi-feature gait recognition with DNN based on sEMG signals