Personalized Machine Learning Approach to Estimating Knee Kinematics Using Only Shank-Mounted IMU
Author:
Affiliation:
1. The University of Auckland, Auckland, New Zealand
2. University of Liege, Liege, Belgium
Funder
National Science Challenges: Science for Technological Innovation New Zealand
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10139852/10105898.pdf?arnumber=10105898
Reference43 articles.
1. Interpretability of Input Representations for Gait Classification in Patients after Total Hip Arthroplasty
2. Predicting Knee Joint Kinematics from Wearable Sensor Data in People with Knee Osteoarthritis and Clinical Considerations for Future Machine Learning Models
3. An unscented Kalman filter for in-motion alignment of low-cost IMUs;shin;Proc IEEE PLANS Position Location and Navigation Symposium,2004
4. Real-Time Walking Gait Estimation for Construction Workers using a Single Wearable Inertial Measurement Unit (IMU)
5. Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities
Cited by 4 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. 3D gait analysis in children using wearable sensors: feasibility of predicting joint kinematics and kinetics with personalized machine learning models and inertial measurement units;Frontiers in Bioengineering and Biotechnology;2024-03-20
2. Have we come to the end of the PROM? Wearable sensors highlight improved rate of recovery and range of movement following robotic-assisted TKA that are overlooked by conventional PROMs;2024-03-19
3. Robust Sensor Fusion and Biomimetic Control of a Lower-Limb Exoskeleton With Multimodal Sensors;IEEE Transactions on Automation Science and Engineering;2024
4. The Effect of IMU Sensor Location, Number of Features, and Window Size on a Random Forest Model’s Accuracy in Predicting Joint Kinematics and Kinetics During Gait;IEEE Sensors Journal;2023-11-15
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3