Details
| Original language | English |
|---|---|
| Pages (from-to) | 113-128 |
| Number of pages | 16 |
| Journal | Computer Methods in Biomechanics and Biomedical Engineering |
| Volume | 21 |
| Issue number | 2 |
| Publication status | Published - 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.
Keywords
- hand biomechanics, Hand kinematics, hand motion analysis, joint centre of rotation, thumb biomechanics
ASJC Scopus subject areas
- Chemical Engineering(all)
- Bioengineering
- Engineering(all)
- Biomedical Engineering
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Computer Science Applications
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In: Computer Methods in Biomechanics and Biomedical Engineering, Vol. 21, No. 2, 27.01.2018, p. 113-128.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Sub-millimetre accurate human hand kinematics: from surface to skeleton
AU - Ma’touq, Jumana
AU - Hu, Tingli
AU - Haddadin, Sami
N1 - Funding Information: Parts of this work are part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme [grant agreement number 688857]. This work is partially funded from the greatly appreciated ‘Alfried Krupp Prize for Young University Lecturers’.
PY - 2018/1/27
Y1 - 2018/1/27
N2 - 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.
AB - 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.
KW - hand biomechanics
KW - Hand kinematics
KW - hand motion analysis
KW - joint centre of rotation
KW - thumb biomechanics
UR - http://www.scopus.com/inward/record.url?scp=85041115275&partnerID=8YFLogxK
U2 - 10.1080/10255842.2018.1425996
DO - 10.1080/10255842.2018.1425996
M3 - Article
C2 - 29374973
AN - SCOPUS:85041115275
VL - 21
SP - 113
EP - 128
JO - Computer Methods in Biomechanics and Biomedical Engineering
JF - Computer Methods in Biomechanics and Biomedical Engineering
SN - 1025-5842
IS - 2
ER -