Dynamic graph topology generating mechanism: Framework for feature-level multimodal information fusion applied to lower-limb activity recognition-Reference-Cited by-同舟云学术

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Dynamic graph topology generating mechanism: Framework for feature-level multimodal information fusion applied to lower-limb activity recognition

Published:2024-11 Issue: Volume:137 Page:109172
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Yu Zidong^ORCID,Zhang Changhe^ORCID,Wang Xiaoyun^ORCID,Chao Deng^ORCID,Liu Yuan,Yu Zeyu^ORCID

Publisher

Elsevier BV

Reference53 articles.

1. Multimodal fusion approach based on EEG and EMG signals for lower limb movement recognition;Al-Quraishi;IEEE Sensor. J.,2021

2. A comprehensive survey of graph embedding: problems, techniques, and applications;Cai;IEEE Trans. Knowl. Data Eng.,2018

3. A study on the application of convolutional neural networks to fall detection evaluated with multiple public datasets;Casilari;Sensors,2020

4. A key review on graph data science: the power of graphs in scientific studies;Das;Chemometr. Intell. Lab. Syst.,2023

5. Hierarchical activity recognition based on belief functions theory in body sensor networks;Dong;IEEE Sensor. J.,2022

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