Markerless Motion Analysis for Early Detection of Infantile Movement Disorders

  • Nikolas HesseEmail author
  • A. Sebastian Schroeder
  • Wolfgang Müller-Felber
  • Christoph Bodensteiner
  • Michael Arens
  • Ulrich G. Hofmann
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 65)


The analysis of spontaneous movements provides valuable information for diagnosing infantile movement disorders. However, analysis is time-consuming and interpretation requires well-trained experts. We present an automated system that captures 3D joint positions and head rotation of infants without attached markers or sensors. We introduce motion parameters of head, trunk, upper and lower limbs of both body sides that are related to range, variability, and symmetry of motions and offer objective diagnostic information for assessment of motor behavior. We analyze 6 recordings of 5 infants who are at high-risk of impaired motor development, and show how the system highlights movement characteristics that hint at disorders.


Motion analysis infants diagnostics 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Nikolas Hesse
    • 1
    Email author
  • A. Sebastian Schroeder
    • 2
  • Wolfgang Müller-Felber
    • 2
  • Christoph Bodensteiner
    • 1
  • Michael Arens
    • 1
  • Ulrich G. Hofmann
    • 3
  1. 1.Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSBEttlingenGermany
  2. 2.Department of Paediatric Neurology and Developmental MedicineDr. von Hauner Children’s Hospital Ludwig-Maximilians-Universität (LMU)MunichGermany
  3. 3.Section for Neuroelectronic Systems Neurosurgery Medical Center University of Freiburg Germany Faculty of Medicine University of Freiburg Germany Freiburg Institute for Advanced Studies (FRIAS)University of FreiburgFreiburgGermany

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