Quantifying normal and parkinsonian gait features from home movies: Practical application of a deep learning–based 2D pose estimator

• Kenichiro Sato ,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Writing – original draft, Writing – review & editing

  * E-mail: kenisatou-tky@umin.ac.jp (KS); iwata@m.u-tokyo.ac.jp (AI)

  Affiliation Department of Neurology, Graduate School of Medicine, University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan

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• Yu Nagashima,

  Roles Conceptualization, Investigation, Validation

  Affiliation Department of Neurology, Graduate School of Medicine, University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan

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• Tatsuo Mano,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Neurology, Graduate School of Medicine, University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan

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• Atsushi Iwata ,

  Roles Supervision, Writing – review & editing

  * E-mail: kenisatou-tky@umin.ac.jp (KS); iwata@m.u-tokyo.ac.jp (AI)

  Affiliation Department of Neurology, Graduate School of Medicine, University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan

  http://orcid.org/0000-0001-7308-5314

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• Tatsushi Toda

  Roles Supervision

  Affiliation Department of Neurology, Graduate School of Medicine, University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan

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