Motion capture based identification of the human body inertial parameters
Motion capture based identification of the human body inertial parameters
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.
- University of Tokyo Japan
Models, Anatomic, Models, Statistical, Movement, Video Recording, Reproducibility of Results, Image Enhancement, Models, Biological, Biomechanical Phenomena, Computer Systems, Image Processing, Computer-Assisted, Humans, Artifacts, Algorithms, Software
Models, Anatomic, Models, Statistical, Movement, Video Recording, Reproducibility of Results, Image Enhancement, Models, Biological, Biomechanical Phenomena, Computer Systems, Image Processing, Computer-Assisted, Humans, Artifacts, Algorithms, Software
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).41 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!