Using a 1D Pose-Descriptor on the Finger-Level to Reduce the Dimensions in Hand Posture Estimation

Amin Dadgar, Guido Brunnett

2023

Abstract

We claim there is a simple measure to characterize all postures of every finger in human hands, each with a single and unique value. To that, we illustrate the sum of distances of fingers’ (movable) joints/nodes (or of the finger’s tip) to a locally fixed reference point on that hand (e.g., wrist joint) equals a unique value for each finger’s posture. We support our hypothesis by presenting numerical justification based on the kinematic skeleton of a human hand for four fingers and by providing evidence on two virtual hand models (which closely resemble the structure of human hands) for thumbs. The employment of this descriptor reduces the dimensionality of the finger’s space from 16 to 5 (e.g., one degree of freedom for each finger). To demonstrate the advantages of employing this measure for finger pose estimation, we utilize it as a temporal a-priori in the analysis-by-synthesis framework to constrain the posture space in searching and estimating the optimum pose of fingers more efficiently. In a set of experiments, we show the benefits of employing this descriptor in time complexity, latency, and accuracy of the pose estimation of our virtual hand.

Paper Citation

in Harvard Style

Dadgar A. and Brunnett G. (2023). Using a 1D Pose-Descriptor on the Finger-Level to Reduce the Dimensions in Hand Posture Estimation. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-626-2, pages 501-508. DOI: 10.5220/0011781000003411

in Bibtex Style

@conference{icpram23,
author={Amin Dadgar and Guido Brunnett},
title={Using a 1D Pose-Descriptor on the Finger-Level to Reduce the Dimensions in Hand Posture Estimation},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2023},
pages={501-508},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011781000003411},
isbn={978-989-758-626-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Using a 1D Pose-Descriptor on the Finger-Level to Reduce the Dimensions in Hand Posture Estimation
SN - 978-989-758-626-2
AU - Dadgar A.
AU - Brunnett G.
PY - 2023
SP - 501
EP - 508
DO - 10.5220/0011781000003411