A Multimode Markerless Gait Motion Analysis System Based on Lightweight Pose Estimation Networks-Reference-Cited by-同舟云学术

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A Multimode Markerless Gait Motion Analysis System Based on Lightweight Pose Estimation Networks

Published:2022-10-13 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)
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Author:

Li Weining¹,Wang Shimeng¹,Lei Jiaxin¹,Wang Xuecheng¹,Wang Liu²,Chen Kuntao³,Zhang Tieyuan⁴,Guan Yanjun⁴,Zhao Zhe⁵,Yin Lan³,Zhang Milin¹

Affiliation:

1. Tsinghua University, Institute for Precision Medicine, Tsinghua University, Beijing National Research Center for Information Science and Technology, Tsinghua University,Department of Electronic Engineering

2. Beihang University,School of Biological Science and Medical Engineering

3. Tsinghua University,School of Materials Science and Engineering

4. Institute of Orthopedics,Chinese PLA General Hospital

5. Tsinghua University,Beijing Tsinghua Changgung Hospital, School of Clinical Medicine

Funder

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9948537/9948538/09948540.pdf?arnumber=9948540

Reference16 articles.

1. Mobilenets: Efficient convolutional neural networks for mobile vision applications;howard,2017

2. Shufflenet v2: Practical guidelines for efficient cnn architecture design;ma;Proceedings of the European Conference on Computer Vision (ECCV),2018

3. GhostNet: More Features From Cheap Operations

4. Simple Baselines for Human Pose Estimation and Tracking

5. Searching for MobileNetV3

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