Image-based center of mass estimation of the human body via 3D shape and kinematic structure

Tomoya Kaichi; Shohei Mori; Hideo Saito; Kosuke Takahashi; Dan Mikami; Mariko Isogawa; Yoshinori Kusachi

doi:10.1007/s12283-019-0309-2

Image-based center of mass estimation of the human body via 3D shape and kinematic structure

Tomoya Kaichi, Shohei Mori, Hideo Saito, Kosuke Takahashi, Dan Mikami, Mariko Isogawa, Yoshinori Kusachi

情報工学科

研究成果: Article › 査読

6 被引用数 (Scopus)

抄録

This paper presents a method to estimate a time-sequential trajectory of the center of mass (CoM) of an athlete from a multi-view set of cameras. Collecting the CoM typically requires large-scale measuring systems or attaching sensors to the athletes. To mitigate such hardware limitations, the present study takes a multi-view video-based approach. The proposed method reconstructs subjects’ voxels from a set of multi-view frames and weights each voxel with body part-dependent weights to calculate a CoM. Our results, using real data measured in a studio, showed that the proposed method can estimate CoM within 20 mm concerning center of pressure measures.

本文言語	English
論文番号	17
ジャーナル	Sports Engineering
巻	22
号	3-4
DOI	https://doi.org/10.1007/s12283-019-0309-2
出版ステータス	Published - 2019 12月

ASJC Scopus subject areas

生体医工学
モデリングとシミュレーション
整形外科およびスポーツ医学
理学療法、スポーツ療法とリハビリテーション
材料力学
機械工学

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

文献へのアクセス

10.1007/s12283-019-0309-2

他のファイルとリンク

引用スタイル

@article{98adf208d3b24e36ace9ad9fa2b85695,

title = "Image-based center of mass estimation of the human body via 3D shape and kinematic structure",

abstract = "This paper presents a method to estimate a time-sequential trajectory of the center of mass (CoM) of an athlete from a multi-view set of cameras. Collecting the CoM typically requires large-scale measuring systems or attaching sensors to the athletes. To mitigate such hardware limitations, the present study takes a multi-view video-based approach. The proposed method reconstructs subjects{\textquoteright} voxels from a set of multi-view frames and weights each voxel with body part-dependent weights to calculate a CoM. Our results, using real data measured in a studio, showed that the proposed method can estimate CoM within 20 mm concerning center of pressure measures.",

keywords = "Center of mass, Multi-view human pose estimation, Multi-view videos, Visual hull",

author = "Tomoya Kaichi and Shohei Mori and Hideo Saito and Kosuke Takahashi and Dan Mikami and Mariko Isogawa and Yoshinori Kusachi",

note = "Funding Information: This work was supported by Grant-in-Aid for JSPS Fellows (19J22153). Funding Information: This work was supported by Grant-in-Aid for JSPS Fellows (19J22153). Publisher Copyright: {\textcopyright} 2019, International Sports Engineering Association.",

year = "2019",

month = dec,

doi = "10.1007/s12283-019-0309-2",

language = "English",

volume = "22",

journal = "Sports Engineering",

issn = "1369-7072",

publisher = "Springer London",

number = "3-4",

}

TY - JOUR

T1 - Image-based center of mass estimation of the human body via 3D shape and kinematic structure

AU - Kaichi, Tomoya

AU - Mori, Shohei

AU - Saito, Hideo

AU - Takahashi, Kosuke

AU - Mikami, Dan

AU - Isogawa, Mariko

AU - Kusachi, Yoshinori

N1 - Funding Information: This work was supported by Grant-in-Aid for JSPS Fellows (19J22153). Funding Information: This work was supported by Grant-in-Aid for JSPS Fellows (19J22153). Publisher Copyright: © 2019, International Sports Engineering Association.

PY - 2019/12

Y1 - 2019/12

N2 - This paper presents a method to estimate a time-sequential trajectory of the center of mass (CoM) of an athlete from a multi-view set of cameras. Collecting the CoM typically requires large-scale measuring systems or attaching sensors to the athletes. To mitigate such hardware limitations, the present study takes a multi-view video-based approach. The proposed method reconstructs subjects’ voxels from a set of multi-view frames and weights each voxel with body part-dependent weights to calculate a CoM. Our results, using real data measured in a studio, showed that the proposed method can estimate CoM within 20 mm concerning center of pressure measures.

AB - This paper presents a method to estimate a time-sequential trajectory of the center of mass (CoM) of an athlete from a multi-view set of cameras. Collecting the CoM typically requires large-scale measuring systems or attaching sensors to the athletes. To mitigate such hardware limitations, the present study takes a multi-view video-based approach. The proposed method reconstructs subjects’ voxels from a set of multi-view frames and weights each voxel with body part-dependent weights to calculate a CoM. Our results, using real data measured in a studio, showed that the proposed method can estimate CoM within 20 mm concerning center of pressure measures.

KW - Center of mass

KW - Multi-view human pose estimation

KW - Multi-view videos

KW - Visual hull

UR - http://www.scopus.com/inward/record.url?scp=85070209989&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85070209989&partnerID=8YFLogxK

U2 - 10.1007/s12283-019-0309-2

DO - 10.1007/s12283-019-0309-2

M3 - Article

AN - SCOPUS:85070209989

SN - 1369-7072

VL - 22

JO - Sports Engineering

JF - Sports Engineering

IS - 3-4

M1 - 17

ER -

Image-based center of mass estimation of the human body via 3D shape and kinematic structure

抄録

ASJC Scopus subject areas

UN SDG

文献へのアクセス

他のファイルとリンク

フィンガープリント

引用スタイル