Identify Finger Rotation Angles With ArUco Markers and Action Cameras

Journal Article (2022)
Author(s)

T. Yuan (TU Delft - Emerging Materials)

Y. Song (TU Delft - Emerging Materials)

Gerald Kraan (TU Delft - Human Factors)

R.H.M. Goossens (TU Delft - Human Factors, TU Delft - Human-Centered Design)

Research Group
Emerging Materials
Copyright
© 2022 T. Yuan, Y. Song, G.A. Kraan, R.H.M. Goossens
DOI related publication
https://doi.org/10.1115/1.4053409
More Info
expand_more
Publication Year
2022
Language
English
Copyright
© 2022 T. Yuan, Y. Song, G.A. Kraan, R.H.M. Goossens
Research Group
Emerging Materials
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Issue number
3
Volume number
22
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Measuring the motions of human hand joints is often a challenge due to the high number of degrees-of-freedom. In this study, we proposed a hand tracking system utilizing action cameras and ArUco markers to continuously measure the rotation angles of hand joints during motion. Three methods were developed to estimate the joint rotation angles. The pos-based method transforms marker positions to a reference coordinate system and extracts a hand skeleton to identify the rotation angles. Similarly, the orient-x-based method calculates the rotation angles from the transformed x-orientations of the detected markers in the reference coordinate system. In contrast, the orient-mat-based method first identifies the rotation angles in each camera coordinate system using the detected orientations and then synthesizes the results regarding each joint. Experiment results indicated that the repeatability errors with one camera regarding different marker sizes were around 2.64–27.56 deg and 0.60–2.36 deg using the marker positions and orientations, respectively. With multiple cameras employed, the joint rotation angles measured by using the three methods were compared with that measured by a goniometer. Comparison results indicated that the results of using the orient-mat-based method are more stable and efficient and can describe more types of movements. The effectiveness of this method was further verified by capturing hand movements of several participants. Therefore, it is recommended for measuring joint rotation angles in practical setups.

Files

Jcise_22_3_031011.pdf
(pdf | 1.56 Mb)
- Embargo expired in 01-07-2023
License info not available