Artificial Neural Network for the Identification of Postural Instability in Subject Wearing Lower Limb Exoskeleton-Reference-Cited by-同舟云学术

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Artificial Neural Network for the Identification of Postural Instability in Subject Wearing Lower Limb Exoskeleton

Published:2022-10-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
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Author:

Mileti Ilaria¹,Taborri Juri²,Torricelli Diego³,Rossi Stefano²,Patane Fabrizio¹

Affiliation:

1. University Niccolò Cusano,Department of Engineering, Mech. Meas. And Microelectr.lab (M3lab),Rome,Italy

2. University of Tuscia,Department of Economics, Engineering, Society and Business Organization (DEIM),Viterbo,Italy

3. Cajal Institute,Spanish National Research Council (CSIC),Madrid,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9967443/9967445/09967525.pdf?arnumber=9967525

Reference21 articles.

1. An adaptive control strategy for postural stability using a wearable robot

2. Analysis of Fall Accident Motion during Walking Using a Lower-Limb Exoskeleton Robot

3. Gait Partitioning Methods: A Systematic Review

4. Research on HMM-based Exoskeleton Robot Falling Prediction Algorithm

5. Decoding neural activity preceding balance loss during standing with a lower-limb exoskeleton using an interpretable deep learning model

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