Ubiquitous Human Upper-Limb Motion Estimation using Wearable Sensors
- Title
- Ubiquitous Human Upper-Limb Motion Estimation using Wearable Sensors
- Author
- Zhiqiang ZHANG; Zhiqiang ZHANG; Zhiqiang ZHANG; Zhiqiang ZHANG
- Keywords
- Joints, Humans; Elbow; Mathematical model; Kalman filters; Kinematics; Estimation
- Issue Date
- 2011-08
- Publisher
- IEEE
- Citation
- IEEE Journal of Biomedical and Health Informatics, 2011, 15(4), P.513-521
- Abstract
- Human motion capture technologies have been widely used in a wide spectrum of applications, including interactive game and learning, animation, film special effects, health care, navigation, and so on. The existing human motion capture techniques, which use structured multiple high-resolution cameras in a dedicated studio, are complicated and expensive. With the rapid development of microsensors-on-chip, human motion capture using wearable microsensors has become an active research topic. Because of the agility in movement, upper-limb motion estimation has been regarded as the most difficult problem in human motion capture. In this paper, we take the upper limb as our research subject and propose a novel ubiquitous upper-limb motion estimation algorithm, which concentrates on modeling the relationship between upper-arm movement and forearm movement. A link structure with 5 degrees of freedom (DOF) is proposed to model the human upper-limb skeleton structure. Parameters are defined according to Denavit-Hartenberg convention, forward kinematics equations are derived, and an unscented Kalman filter is deployed to estimate the defined parameters. The experimental results have shown that the proposed upper-limb motion capture and analysis algorithm outperforms other fusion methods and provides accurate results in comparison to the BTS optical motion tracker.
- URI
- http://ieeexplore.ieee.org/document/5872045/
- ISSN
- 1089-7771; 1558-0032
- DOI
- 10.1109/TITB.2011.2159122
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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