Determining jumping performance from a single body-worn accelerometer using machine learning

• Mark G. E. White ,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Writing – original draft

  * E-mail: markgewhite@gmail.com

  Affiliations Applied Sports, Technology, Exercise and Medicine Research Centre, Swansea University, Swansea, United Kingdom, Department of Biomedical Engineering, Swansea University, Swansea, United Kingdom

  https://orcid.org/0000-0001-5404-9289

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• Neil E. Bezodis,

  Roles Conceptualization, Project administration, Supervision, Writing – review & editing

  Affiliation Applied Sports, Technology, Exercise and Medicine Research Centre, Swansea University, Swansea, United Kingdom

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• Jonathon Neville,

  Roles Methodology, Supervision, Writing – review & editing

  Affiliation Sport Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand

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• Huw Summers,

  Roles Conceptualization, Funding acquisition

  Affiliation Department of Biomedical Engineering, Swansea University, Swansea, United Kingdom

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• Paul Rees

  Roles Methodology, Supervision, Writing – review & editing

  Affiliation Department of Biomedical Engineering, Swansea University, Swansea, United Kingdom

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