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Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis.
Boschmann, Alexander; Neuhaus, Dorothee; Vogt, Sarah; Kaltschmidt, Christian; Platzner, Marco; Dosen, Strahinja.
Afiliação
  • Boschmann A; Computer Engineering Group, Department of Computer Science, Faculty of Computer Science, Electrical Engineering and Mathematics, Paderborn University, Paderborn, Germany. alexander.boschmann@uni-paderborn.de.
  • Neuhaus D; Exercise Science & Neuroscience Unit, Department Exercise and Health, Faculty of Science, Paderborn University, Paderborn, Germany.
  • Vogt S; Exercise Science & Neuroscience Unit, Department Exercise and Health, Faculty of Science, Paderborn University, Paderborn, Germany.
  • Kaltschmidt C; Exercise Science & Neuroscience Unit, Department Exercise and Health, Faculty of Science, Paderborn University, Paderborn, Germany.
  • Platzner M; Computer Engineering Group, Department of Computer Science, Faculty of Computer Science, Electrical Engineering and Mathematics, Paderborn University, Paderborn, Germany.
  • Dosen S; Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Aalborg, Denmark.
J Neuroeng Rehabil ; 18(1): 25, 2021 02 04.
Article em En | MEDLINE | ID: mdl-33541376

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Membros Artificiais / Interface Usuário-Computador / Realidade Aumentada Limite: Adult / Female / Humans / Male Idioma: En Revista: J Neuroeng Rehabil Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Membros Artificiais / Interface Usuário-Computador / Realidade Aumentada Limite: Adult / Female / Humans / Male Idioma: En Revista: J Neuroeng Rehabil Ano de publicação: 2021 Tipo de documento: Article