Wearable IMU Based Gait Quality Quantitative Evaluation Method-Reference-Cited by-同舟云学术

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Wearable IMU Based Gait Quality Quantitative Evaluation Method

Published:2022-09-12 Issue: Volume: Page:
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Container-title:2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
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Author:

Tang Jiahui¹,Pang Yu¹,Wang Hao²,Li Ye³,Sun Fangmin³

Affiliation:

1. Chongqing University of Posts and Telecommunications,School of Optoelectronic Engineering,Chongqing,China,400065

2. Zhengzhou University,School of Physical Science,Zhengzhou,China,450001

3. Chinese Academy Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China,518055

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9927523/9927699/09927906.pdf?arnumber=9927906

Reference22 articles.

1. A novel computer vision based gait analysis technique for normal and Parkinson’s gaits classification;gong,2020

2. Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference[J];c;IEEE Internet of Things Journal,2020

3. Research on Gait Evaluation Method Based on Machine Vision

4. MotionSynthesis toolset (MoST)

5. Land and Underwater Gait Analysis Using Wearable IMU

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