de
en
Schliessen
Detailsuche
Bibliotheken
Projekt
Impressum
Datenschutz
zum Inhalt
Detailsuche
Schnellsuche:
OK
Ergebnisliste
Titel
Titel
Inhalt
Inhalt
Seite
Seite
Im Dokument suchen
Hülsmann, Felix: Motor Learning in Virtual Reality: From Motion to Augmented Feedback. 2019
Inhalt
Contents
Introduction
Low Latency Environment
Requirements
Related Approaches
Realization of Low-Latency Environment
Benchmark
Data Recording
Conclusion
Improvement via Observation: Superimposed Skilled Performance
Related Approaches
Experiment 1
Experiment 2
Discussion
Conclusion
Accurate Online Alignment of Motor Performances
Related Approaches
Domain and Data Set
Online Temporal Alignment
Discussion and Conclusion
Classification of Motor Errors to Provide Real-time Feedback
Related Approaches
Domain and Data Set
Hierarchical State-Based Multi-Level Analysis
Data-driven Analysis
Evaluation and Comparisons of Classifiers
Discussion and Conclusion
Fully Integrated Environment: Complete Coaching Cycle
Realization
Experiment
Results and Discussion
Conclusion
Outlook: Portable Environment
Related Work
Realization
Pilot Experiment
Conclusion
Discussion and Conclusion
Bibliography
Appendices
Description of Analysis for Chapter 3
Additional Information for Chapter 5: More Results
Pilot Study on Simple Textual Feedback
Pilot Study on Verbal Feedback
Coach Utterances as Used in Chapter 6