Prediction of lower limb kinematics from vision-based system using deep learning approaches
Author:
Affiliation:
1. Center for Artificial intelligence, Korea Institute of science Technology,Seoul,Republic of Korea
2. University of Science Technology,Department of Human Computer Interface Robotics Engineering,Daejeon,South Korea
Funder
Ministry of Trade, Industry and Energy
Ministry of Health & Welfare
Ministry of Food and Drug Safety
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871577.pdf?arnumber=9871577
Reference16 articles.
1. Lower body kinematics estimation from wearable sensors for walking and running: A deep learning approach
2. Prediction of lower extremity multi-joint angles during overground walking by using a single imu with a low frequency based on an lstm recurrent neural network;s;SENSORS,2021
3. Prediction of lower limb kinetics and kinematics during walking by a single imu on the lower back using machine learning;kim;SENSORS,2019
4. Accuracy and repeatability of joint angles measured using a single camera markerless motion capture system
5. A markerless system for gait analysis based on OpenPose library
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1. The Role of Artificial Intelligence in Future Rehabilitation Services: A Systematic Literature Review;IEEE Access;2023
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