Sub-millimetre accurate human hand kinematics: from surface to skeleton

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Jumana Ma’touq
  • Tingli Hu
  • Sami Haddadin

Organisationseinheiten

Externe Organisationen

  • Zentrum für Systemische Neurowissenschaften Hannover (ZSN)
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Details

OriginalspracheEnglisch
Seiten (von - bis)113-128
Seitenumfang16
FachzeitschriftComputer Methods in Biomechanics and Biomedical Engineering
Jahrgang21
Ausgabenummer2
PublikationsstatusVeröffentlicht - 27 Jan. 2018

Abstract

A highly accurate human hand kinematics model and identification are proposed. The model includes the five digits and the palm arc based on mapping function between surface landmarks and estimated joint centres of rotation. Model identification was experimentally performed using a motion tracking system. The evaluation of the marker position estimation error, which is on sub-millimetre level across all digits, underlines model quality and accuracy. Noticeably, with the development of this model, we were able to improve various modelling assumptions from literature and found a basic linear relationship between surface and skeleton rotational angles.

ASJC Scopus Sachgebiete

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Sub-millimetre accurate human hand kinematics: from surface to skeleton. / Ma’touq, Jumana; Hu, Tingli; Haddadin, Sami.
in: Computer Methods in Biomechanics and Biomedical Engineering, Jahrgang 21, Nr. 2, 27.01.2018, S. 113-128.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Ma’touq J, Hu T, Haddadin S. Sub-millimetre accurate human hand kinematics: from surface to skeleton. Computer Methods in Biomechanics and Biomedical Engineering. 2018 Jan 27;21(2):113-128. doi: 10.1080/10255842.2018.1425996, 10.15488/3738
Ma’touq, Jumana ; Hu, Tingli ; Haddadin, Sami. / Sub-millimetre accurate human hand kinematics: from surface to skeleton. in: Computer Methods in Biomechanics and Biomedical Engineering. 2018 ; Jahrgang 21, Nr. 2. S. 113-128.
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