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Artificial Intelligence-Based Motion Capture: Current Technologies, Applications and Challenges

  • Melanie Baldinger,
  • Kevin Lippmann,
  • Veit Senner

摘要

Markerless motion capture has emerged as a significant technology in the research and application of motion capture systems. Unlike traditional marker-based approaches, markerless motion capture enables precise tracking and analysis of movements without the need for markers placed on the body. This offers a range of advantages, including improved user-friendliness, greater freedom of movement, and broader applicability in various environments, both within laboratories and outdoors. The aim of this chapter is to provide an overview of current markerless motion capture technologies, as well as their validity and applications in sports and health. We complement this literature review by providing two practical examples of our own research and summarize the main challenges that need to be tackled in future research.