Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Yoichi Iino

Biographic Data

ID1754165
NAMEYoichi Iino
GIVEN NAMESYoichi
FAMILY NAMEIino
SIGNATUREIINO Y
ORCID0000-0003-4132-838X
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS7
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2020
H-INDEX1
  • Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras

    Open Access•Nobuyasu Nakano, Tetsuro Sakura et al.•ARTICLE•Frontiers in Sports and Active…•2020•Cited by: 7•References: 14

    There is a need within human movement sciences for a markerless motion capture system, which is easy to use and sufficiently accurate to evaluate motor performance. This study aims to develop a 3D markerless motion capture technique, using OpenPose with multiple synchronized video cameras, and examine its accuracy in comparison with optical marker-based motion capture. Participants performed three motor tasks (walking, countermovement jumping, an…

  • Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras

    Open Access•Nobuyasu Nakano, Tetsuro Sakura et al.•ARTICLE•Frontiers in Sports and Active…•2020•Cited by: 7•References: 14

    There is a need within human movement sciences for a markerless motion capture system, which is easy to use and sufficiently accurate to evaluate motor performance. This study aims to develop a 3D markerless motion capture technique, using OpenPose with multiple synchronized video cameras, and examine its accuracy in comparison with optical marker-based motion capture. Participants performed three motor tasks (walking, countermovement jumping, an…

  • Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras

    Open Access•Nobuyasu Nakano, Tetsuro Sakura et al.•ARTICLE•Frontiers in Sports and Active…•2020•Cited by: 7•References: 14

    There is a need within human movement sciences for a markerless motion capture system, which is easy to use and sufficiently accurate to evaluate motor performance. This study aims to develop a 3D markerless motion capture technique, using OpenPose with multiple synchronized video cameras, and examine its accuracy in comparison with optical marker-based motion capture. Participants performed three motor tasks (walking, countermovement jumping, an…

Advanced Vision and Imaging (1 work) · Artificial Intelligence (1 work) · Computer graphics (images (1 work) · Computer Science (1 work) · Computer vision (1 work) · Human Pose and Action Recognition (1 work) · Motion (physics (1 work) · Motion Capture (1 work) · Video Surveillance and Tracking Methods (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae