From posture to motion: the challenge for real time wireless inertial motion capture

Authors:
A. D. Young
Affiliations:
University of Edinburgh, Edinburgh, United Kingdom
Venue:
Proceedings of the Fifth International Conference on Body Area Networks
Year:
2010

Citing 6
Cited 1

Motion Tracking: No Silver Bullet, but a Respectable Arsenal

IEEE Computer Graphics and Applications
Orient-2: a realtime wireless posture tracking system using local orientation estimation

Proceedings of the 4th workshop on Embedded networked sensors
The speckled golfer

BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
Bayesian Analysis of Sub-plantar Ground Reaction Force with BSN

BSN '09 Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks
Distributed estimation of linear acceleration for improved accuracy in wireless inertial motion capture

Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
The GETA sandals: a footprint location tracking system

LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness

Using wearable inertial sensors for posture and position tracking in unconstrained environments through learned translation manifolds

Proceedings of the 12th international conference on Information processing in sensor networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Networks of Wireless Inertial Measurement Units (WIMUs) allow for the real time capture of orientation data from multiple devices. Combining data from WIMUs with a rigid body model allows estimation of subject posture. However, posture information is not sufficient for full-body motion capture, the position of the subject in space must also be tracked. In this paper we examine the problem of relative position tracking; provide a demonstration of a novel location estimation algorithm, based on probabilistic ground contact detection; and discuss the use of aiding technologies.