Learning-Based Inverse Dynamics for Human Motion Analysis

Petrissa Zell

doi:10.51202/9783186877109

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Bibliographic data

Copyright year: 2022
ISBN-Print: 978-3-18-387710-2
ISBN-Online: 978-3-18-687710-9
Publisher: VDI Verlag, Düsseldorf
Series: Informatik/ Kommunikation
Volume: 877
Language: German
Pages: 152
Product type: Book Titles

Titelei/Inhaltsverzeichnis Partial access Pages I - XIV Download chapter (PDF)
1. Applications and Challenges of Inverse Dynamics No access
2. Learning Inverse Dynamics No access
3. Contributions No access
4. Structure of the Thesis No access
5. Publications No access
1. 1. Inverse Approaches No access
  2. Forward Approaches No access
  3. Implicit Approaches No access
2. Learning-Based Inverse Dynamics No access
3. Decreasing Supervision No access
1. 1. Representation of Position No access
  2. Representation of Orientation No access
  3. Homogeneous Transformations No access
2. 1. Kinematic Trees No access
  2. The Denavit-Hartenberg Convention No access
  3. Velocity and Acceleration Kinematics No access
3. 1. TMT-Method No access
4. 1. Terminology and General Concepts No access
  2. Support Vector Machines No access
  3. Ridge Regression No access
  4. Random Forests No access
  5. Neural Networks No access
  6. Generalization No access
  7. Transfer Learning No access
1. Motion Capture and Kinematic Optimization No access
2. Force Plate Measurements No access
3. Estimation of Inertial Properties No access
4. Optimization of Joint Torques No access
5. Data Specification No access
6. Generation of Training Data Points No access
1. 1. End-to-End Regression No access
  2. Multi-Stage Regression No access
2. 1. Predictive Dynamics Dataset No access
  2. Public Dataset No access
  3. Application to Reconstructed Motions No access
3. Discussion No access
1. Datasets No access
2. 1. Forward Layer No access
  2. Inverse Layer No access
  3. Contact Loss No access
  4. Training Modes No access
3. 1. Comparison in the Supervised Setting No access
  2. Semi-Supervision with Small Labeled Datasets No access
  3. Domain Adaptation No access
  4. Ablation of Input Structure No access
  5. Effect of Noise No access
4. Discussion No access
Conclusions No access Pages 123 - 126
1. Evaluation Based on Additional Metrics No access
2. Data-Driven Inverse Dynamics Optimization No access
Bibliography No access Pages 130 - 152