Literature DB >> 19163734

Motion capture based identification of the human body inertial parameters.

Gentiane Venture, Ko Ayusawa, Yoshihiko Nakamura.   

Abstract

Identification of body inertia, masses and center of mass is an important data to simulate, monitor and understand dynamics of motion, to personalize rehabilitation programs. This paper proposes an original method to identify the inertial parameters of the human body, making use of motion capture data and contact forces measurements. It allows in-vivo painless estimation and monitoring of the inertial parameters. The method is described and then obtained experimental results are presented and discussed.

Entities:  

Mesh:

Year:  2008        PMID: 19163734     DOI: 10.1109/IEMBS.2008.4650231

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Exploration and Research of Human Identification Scheme Based on Inertial Data.

Authors:  Zhenyi Gao; Jiayang Sun; Haotian Yang; Jiarui Tan; Bin Zhou; Qi Wei; Rong Zhang
Journal:  Sensors (Basel)       Date:  2020-06-18       Impact factor: 3.576

2.  Human Weight Compensation With a Backdrivable Upper-Limb Exoskeleton: Identification and Control.

Authors:  Dorian Verdel; Simon Bastide; Nicolas Vignais; Olivier Bruneau; Bastien Berret
Journal:  Front Bioeng Biotechnol       Date:  2022-01-13

3.  One Small Step for a Man: Estimation of Gender, Age and Height from Recordings of One Step by a Single Inertial Sensor.

Authors:  Qaiser Riaz; Anna Vögele; Björn Krüger; Andreas Weber
Journal:  Sensors (Basel)       Date:  2015-12-19       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.