An IMU-Based Real-Time Gait Detection Method for Intelligent Control of Knee Assistive Devices-Reference-Cited by-同舟云学术

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An IMU-Based Real-Time Gait Detection Method for Intelligent Control of Knee Assistive Devices

Published:2023 Issue: Volume:72 Page:1-9
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Lu Yinxiao¹^ORCID,Zhu Jun²^ORCID,Chen Wenming¹^ORCID,Ma Xin³^ORCID

Affiliation:

1. Institute of Biomedical Engineering and Technology, Academy for Engineering and Technology, Fudan University, Shanghai, China

2. Center of Biomedical Engineering and Technology, Yiwu Research Institute of Fudan University, Yiwu, China

3. Department of Orthopedics, Shanghai Sixth People’s Hospital, Shanghai Jiaotong University, Shanghai, China

Funder

National Key Research and Development Project

National Natural Science Foundation of China

Shanghai Science and Technology Development Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10311407.pdf?arnumber=10311407

Reference36 articles.

1. Real-Time Intended Knee Joint Motion Prediction by Deep-Recurrent Neural Networks

2. Gait Event Detection in Controlled and Real-Life Situations: Repeated Measures From Healthy Subjects

3. Gait event detection for FES using accelerometers and supervised machine learning

4. Heuristic Real-Time Detection of Temporal Gait Events for Lower Limb Amputees

5. Continuous Hidden Markov Model for Pedestrian Activity Classification and Gait Analysis

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