A Comparative Analysis of Methods for Hand Pose Detection in 3D Environments

Jorge Iglesias, Luis Montesinos, Luis Montesinos, David Balderas, David Balderas

2024

Abstract

The ability to discern the pose and gesture of the human hand is of big importance in the field of human-computer interaction, particularly in the context of sign language interpretation, gesture-based control and augmented reality applications. Some models employ different methodologies to estimate the position of the hand. However, few have provided a comprehensive and objective comparison, resulting in a limited understanding of the approaches among researchers. The present study assesses the efficacy of three-dimensional (3D) hand pose estimation techniques, with a particular focus on those that derive the hand pose directly from depth maps or stereo images. The evaluation of the models considers endpoint pixel error as a principal metric for comparison between methods, with the aim of identifying the most effective approach. The objective is to identify a method that is suitable for virtual reality training considering memory usage, speed, accuracy, adaptability, and robustness. Furthermore, this study can help other researchers understand the construction of such models and develop their own models.

Paper Citation

in Harvard Style

Iglesias J., Montesinos L. and Balderas D. (2024). A Comparative Analysis of Methods for Hand Pose Detection in 3D Environments. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-717-7, SciTePress, pages 308-313. DOI: 10.5220/0013044300003822

in Bibtex Style

@conference{icinco24,
author={Jorge Iglesias and Luis Montesinos and David Balderas},
title={A Comparative Analysis of Methods for Hand Pose Detection in 3D Environments},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2024},
pages={308-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013044300003822},
isbn={978-989-758-717-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - A Comparative Analysis of Methods for Hand Pose Detection in 3D Environments
SN - 978-989-758-717-7
AU - Iglesias J.
AU - Montesinos L.
AU - Balderas D.
PY - 2024
SP - 308
EP - 313
DO - 10.5220/0013044300003822
PB - SciTePress