Please use this identifier to cite or link to this item:
|Title:||Ubiquitous human upper-limb motion estimation using wearable sensors|
Wong Sr., W.-C.
|Keywords:||Body sensor network|
ubiquitous motion modeling and estimation
|Citation:||Zhang, Z.-Q., Wong Sr., W.-C., Wu, J.-K. (2011-07). Ubiquitous human upper-limb motion estimation using wearable sensors. IEEE Transactions on Information Technology in Biomedicine 15 (4) : 513-521. ScholarBank@NUS Repository. https://doi.org/10.1109/TITB.2011.2159122|
|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. © 2011 IEEE.|
|Source Title:||IEEE Transactions on Information Technology in Biomedicine|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 18, 2018
WEB OF SCIENCETM
checked on Jul 17, 2018
checked on Jun 30, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.