Automatic Transcription and Detection of the MTM-1 Hand Motions Performed in Virtual Reality

Valentina Gorobets, Roman Billeter, Andreas Kunz

2025

Abstract

Methods-Time Measurement (MTM) is a predetermined time system that allows analyzing manual work processes by dividing performed motions into predetermined basic motions. We present an automatic transcription of hand and arm motions in Virtual Reality (VR) using the MTM-1 system. We describe two decision trees that deliver information about hand and arm motions when handling a virtual object (VO). Additionally, we discuss the DBSCAN algorithm to transcribe the rest of the arm motions that do not interact with VOs. The results of an automatic transcription are presented and compared to the ground truth obtained from a manual transcription. Finally, we discuss the results and further improvements of the algorithm.

Paper Citation

in Harvard Style

Gorobets V., Billeter R. and Kunz A. (2025). Automatic Transcription and Detection of the MTM-1 Hand Motions Performed in Virtual Reality. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: HUCAPP; ISBN 978-989-758-728-3, SciTePress, pages 596-603. DOI: 10.5220/0013180500003912

in Bibtex Style

@conference{hucapp25,
author={Valentina Gorobets and Roman Billeter and Andreas Kunz},
title={Automatic Transcription and Detection of the MTM-1 Hand Motions Performed in Virtual Reality},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: HUCAPP},
year={2025},
pages={596-603},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013180500003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: HUCAPP
TI - Automatic Transcription and Detection of the MTM-1 Hand Motions Performed in Virtual Reality
SN - 978-989-758-728-3
AU - Gorobets V.
AU - Billeter R.
AU - Kunz A.
PY - 2025
SP - 596
EP - 603
DO - 10.5220/0013180500003912
PB - SciTePress