Analysis of Human Motion Data Captured by SlimeVR and Validation of Its Reliability
Author:
Affiliation:
1. Wuhan University of technology,School of Automation,Wuhan,Chine
2. Xi’an Jiaotong-Liverpool University,School of Information and Computer Science,Suzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9959088/9959097/09959634.pdf?arnumber=9959634
Reference13 articles.
1. Mechanical design of powered prosthetic leg and walking pattern generation based on motion capture data
2. Attitude Estimation of Moving Carriers Based on Improved Kalman Filter;xu;Chinese Journal of Sensors and Actuators,2020
3. SlimeVR-Server;rain;GitHub Public Project,0
4. Performance Evaluation of Optical Motion Capture Sensors for Assembly Motion Capturing
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