loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Masaya Mizuno 1 ; Yasutomo Kawanishi 1 ; 2 ; Tomohiro Fujita 2 ; Daisuke Deguchi 1 and Hiroshi Murase 1

Affiliations: 1 Graduate School of Informatics, Nagoya University, Chikusa-ku, Nagoya, Japan ; 2 RIKEN Guardian Robot Project, Souraku-gun, Kyoto, Japan

Keyword(s): Subjective Baggage-Weight, G2SW (Gait to Subjective Weight), Graph Convolution, Multi-Task Learning.

Abstract: We propose a new computer vision problem of subjective baggage-weight estimation by defining the term subjective weight as how heavy the person feels. We propose a method named G2SW (Gait to Subjective Weight), which is based on the assumption that cues of the subjective weight appear in the human gait, described by a 3D skeleton sequence. The method uses 3D locations and velocities of body joints as input and estimates subjective weight using a Graph Convolutional Network. It also estimates human body weight as a sub-task based on the assumption that the strength of a person depends on body weight. For the evaluation, we built a dataset for subjective baggage-weight estimation, consisting of 3D skeleton sequences with subjective weight annotations. We confirmed that the subjective weight could be estimated from a human gait and also confirmed that the sub-task of body weight estimation pulls up the performance of the subjective weight estimation.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.138.122.4

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Mizuno, M.; Kawanishi, Y.; Fujita, T.; Deguchi, D. and Murase, H. (2023). Subjective Baggage-Weight Estimation from Gait: Can You Estimate How Heavy the Person Feels?. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 567-574. DOI: 10.5220/0011668900003417

@conference{visapp23,
author={Masaya Mizuno. and Yasutomo Kawanishi. and Tomohiro Fujita. and Daisuke Deguchi. and Hiroshi Murase.},
title={Subjective Baggage-Weight Estimation from Gait: Can You Estimate How Heavy the Person Feels?},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP},
year={2023},
pages={567-574},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011668900003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP
TI - Subjective Baggage-Weight Estimation from Gait: Can You Estimate How Heavy the Person Feels?
SN - 978-989-758-634-7
IS - 2184-4321
AU - Mizuno, M.
AU - Kawanishi, Y.
AU - Fujita, T.
AU - Deguchi, D.
AU - Murase, H.
PY - 2023
SP - 567
EP - 574
DO - 10.5220/0011668900003417
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic