A lightweight double-channel depthwise separable convolutional neural network for multimodal fusion gait recognition

DOI10.3934/MBE.2022055OpenAlexW3216782701MaRDI QIDQ2130166

Yanyan Li

Publication date: 25 April 2022

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

Full work available at URL: https://doi.org/10.3934/mbe.2022055

zbMATH Keywords

gait recognitionmultimodal fusionDC-DSCNNgait cycleswearable devices

Mathematics Subject Classification ID

Computer science (68-XX)

Related Items (1)

RNN-based deep learning for physical activity recognition using smartwatch sensors: a case study of simple and complex activity recognition

Uses Software

• Xception
• MobileNets

Cites Work

• Running gait pattern recognition based on cross-correlation analysis of single acceleration sensor

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