Paper Info
Title
Constraint-Based Real-Time Full-Body Motion-Capture Using Inertial Measurement Units
Abstract
Human motion measurement plays an important role in the field of motion analysis, virtual reality and ergonomics design. Recently, it has become possible to measure the human motion using a set of inertial measurement units (IMUs). However, the IMU-based motion-capture (MoCap) system only consider the ground contact constraints, so the constraints between the human and the product are not considered. Therefore, this study aims to develop a full-body motion estimation system using the IMUs, which can reflect the contact conditions between the product and the product users based on the user-specified contact constraints. In addition, the proposed system is validated through the measurement experiments of walking and chair-sitting motions. The walking experiment shows that the averaged errors of the joint angle estimation are ranged from 2.79 +/- 2.00 deg for the right ankle to 9.55 +/- 6.04 deg for the right hip. In addition, the chair-sitting experiment shows that the proposed system could estimate the sitting motion reflecting the contact condition between the subject and the chair surfaces. Our results indicate the potentials and challenges for measuring a variety of human motion using the proposed system.
Year
DOI
Venue
2018
10.1109/SMC.2018.00727
2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
Keywords
Field
DocType
Motion estimation, Inertial Measurement Unit, Digital Human Model
Inertial frame of reference,Motion capture,Computer vision,Units of measurement,Virtual reality,Computer science,Control theory,Artificial intelligence,Inertial measurement unit,Motion estimation,Motion analysis,Sitting
Conference
ISSN
Citations 
PageRank 
1062-922X
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Tsubasa Maruyama132.89
Mitsunori Tada24311.10
Akira Sawatome300.68
Yui Endo4234.41