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General method for automated feature extraction and selection and its application for gender classification and biomechanical knowledge discovery of sex differences in spinal posture during stance and gait.
Dindorf, Carlo; Konradi, Jürgen; Wolf, Claudia; Taetz, Bertram; Bleser, Gabriele; Huthwelker, Janine; Drees, Philipp; Fröhlich, Michael; Betz, Ulrich.
Afiliação
  • Dindorf C; Department of Sports Science, Technische Universität Kaiserslautern, Kaiserslautern, Germany.
  • Konradi J; Institute of Physical Therapy, Prevention and Rehabilitation, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany.
  • Wolf C; Institute of Physical Therapy, Prevention and Rehabilitation, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany.
  • Taetz B; Department Augmented Vision, German Research Center for Artificial Intelligence, Kaiserslautern, Germany.
  • Bleser G; Junior Research Group wear HEALTH, Technische Universität Kaiserslautern, Kaiserslautern, Germany.
  • Huthwelker J; Department of Orthopedics and Trauma Surgery, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany.
  • Drees P; Department of Orthopedics and Trauma Surgery, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany.
  • Fröhlich M; Department of Sports Science, Technische Universität Kaiserslautern, Kaiserslautern, Germany.
  • Betz U; Institute of Physical Therapy, Prevention and Rehabilitation, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany.
Comput Methods Biomech Biomed Engin ; 24(3): 299-307, 2021 Feb.
Article em En | MEDLINE | ID: mdl-33135504

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Postura / Algoritmos / Caracteres Sexuais / Descoberta do Conhecimento / Marcha Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Postura / Algoritmos / Caracteres Sexuais / Descoberta do Conhecimento / Marcha Idioma: En Ano de publicação: 2021 Tipo de documento: Article