A deep-learning approach for automatically detecting gait-events based on foot-marker kinematics in children with cerebral palsy—Which markers work best for which gait patterns?

• Yong Kuk Kim ,

  Roles Conceptualization, Investigation, Methodology, Writing – original draft

  * E-mail: yong.kim@hest.ethz.ch

  Affiliation Laboratory for Movement Biomechanics, Institute for Biomechanics, ETH Zürich, Zürich, Switzerland

  https://orcid.org/0000-0002-8975-5762

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• Rosa M. S. Visscher,

  Roles Conceptualization, Data curation, Investigation, Methodology, Project administration, Writing – review & editing

  Affiliation Laboratory for Movement Biomechanics, Institute for Biomechanics, ETH Zürich, Zürich, Switzerland

  https://orcid.org/0000-0003-2817-9359

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• Elke Viehweger,

  Roles Data curation, Supervision, Writing – review & editing

  Affiliation Laboratory for Movement Analysis, Department of Orthopedics, University Children’s Hospital Basel, Basel, Switzerland

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• Navrag B. Singh,

  Roles Conceptualization, Writing – review & editing

  Affiliation Laboratory for Movement Biomechanics, Institute for Biomechanics, ETH Zürich, Zürich, Switzerland

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• William R. Taylor,

  Roles Writing – review & editing

  Affiliation Laboratory for Movement Biomechanics, Institute for Biomechanics, ETH Zürich, Zürich, Switzerland

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• Florian Vogl

  Roles Methodology, Supervision, Writing – review & editing

  Affiliation Laboratory for Movement Biomechanics, Institute for Biomechanics, ETH Zürich, Zürich, Switzerland

  https://orcid.org/0000-0001-6322-4990

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