scholarly journals A model‐based motion capture marker location refinement approach using inverse kinematics from dynamic trials

2019 ◽  
Vol 36 (1) ◽  
Author(s):  
Mark A. Price ◽  
Andrew K. LaPrè ◽  
Russell T. Johnson ◽  
Brian R. Umberger ◽  
Frank C. Sup
Keyword(s):  
Motion Capture ◽  
Inverse Kinematics ◽  
Model Based ◽  
Marker Location

scholarly journals Validation of a model-based inverse kinematics approach based on wearable inertial sensors

2018 ◽  
Vol 21 (16) ◽  
pp. 834-844 ◽  
Author(s):  
L. Tagliapietra ◽  
L. Modenese ◽  
E. Ceseracciu ◽  
C. Mazzà ◽  
M. Reggiani
Keyword(s):  
Inverse Kinematics ◽  
Inertial Sensors ◽  
Model Based ◽  
Wearable Inertial Sensors

scholarly journals Model-Based Real-Time Motion Tracking Using Dynamical Inverse Kinematics

Algorithms ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 266
Author(s):  
Lorenzo Rapetti ◽  
Yeshasvi Tirupachuri ◽  
Kourosh Darvish ◽  
Stefano Dafarra ◽  
Gabriele Nava ◽  
...  
Keyword(s):  
Real Time ◽  
Inverse Kinematics ◽  
Motion Tracking ◽  
Lyapunov Analysis ◽  
System Configuration ◽  
Method Performance ◽  
Model Based ◽  
Time Motion ◽  
Velocity Correction ◽  
Time Critical

This paper contributes towards the development of motion tracking algorithms for time-critical applications, proposing an infrastructure for dynamically solving the inverse kinematics of highly articulate systems such as humans. The method presented is model-based, it makes use of velocity correction and differential kinematics integration in order to compute the system configuration. The convergence of the model towards the measurements is proved using Lyapunov analysis. An experimental scenario, where the motion of a human subject is tracked in static and dynamic configurations, is used to validate the inverse kinematics method performance on human and humanoid models. Moreover, the method is tested on a human-humanoid retargeting scenario, verifying the usability of the computed solution in real-time robotics applications. Our approach is evaluated both in terms of accuracy and computational load, and compared to iterative optimization algorithms.

A constrained inverse kinematics technique for real-time motion capture animation

1999 ◽  
Vol 15 (7-8) ◽  
pp. 413-425 ◽  
Author(s):  
Wen Tang ◽  
Marc Cavazza ◽  
Dale Mountain ◽  
Rae Earnshaw
Keyword(s):  
Real Time ◽  
Motion Capture ◽  
Inverse Kinematics ◽  
Time Motion
Sign in / Sign up

Export Citation Format

Share Document