Algorithms for Walking Speed Estimation Using a Lower-Back-Worn Inertial Sensor: A Cross-Validation on Speed Ranges-Reference-Cited by-同舟云学术

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Algorithms for Walking Speed Estimation Using a Lower-Back-Worn Inertial Sensor: A Cross-Validation on Speed Ranges

Published:2021 Issue: Volume:29 Page:1955-1964
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Soltani A.^ORCID,Aminian K.^ORCID,Mazza C.^ORCID,Cereatti A.,Palmerini L.^ORCID,Bonci T.^ORCID,Paraschiv-Ionescu A.^ORCID

Funder

European Union’s Horizon 2020 Research and Innovation Programme and EFPIA via the Innovative Medicine Initiative 2 through the Mobilise-D Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/9363468/09534902.pdf?arnumber=9534902

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Combining Different Wearable Devices to Assess Gait Speed in Real-World Settings;Sensors;2024-05-17

2. Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study;JMIR Formative Research;2024-05-01

3. Human Activity Recognition in a Free-Living Environment Using an Ear-Worn Motion Sensor;Sensors;2024-04-23

4. Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device;Scientific Reports;2024-01-19

5. Gaitmap—An Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking;IEEE Open Journal of Engineering in Medicine and Biology;2024

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