A generic approach to inertial tracking of arbitrary kinematic chains

Authors:
Markus Miezal;Gabriele Bleser;Norbert Schmitz;Didier Stricker
Affiliations:
DFKI GmbH, Kaiserslautern;DFKI GmbH, Kaiserslautern;DFKI GmbH, Kaiserslautern;DFKI GmbH, Kaiserslautern
Venue:
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
Year:
2013

Citing 5
Cited 0

Orient-2: a realtime wireless posture tracking system using local orientation estimation

Proceedings of the 4th workshop on Embedded networked sensors
Use of Body Model Constraints to Improve Accuracy of Inertial Motion Capture

BSN '10 Proceedings of the 2010 International Conference on Body Sensor Networks
Activity recognition using biomechanical model based pose estimation

EuroSSC'10 Proceedings of the 5th European conference on Smart sensing and context
Using egocentric vision to achieve robust inertial body tracking under magnetic disturbances

ISMAR '11 Proceedings of the 2011 10th IEEE International Symposium on Mixed and Augmented Reality
Design, Implementation, and Experimental Results of a Quaternion-Based Kalman Filter for Human Body Motion Tracking

IEEE Transactions on Robotics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Inertial tracking is still an area of active research, especially in the context of real-time human motion capture. Existing systems either propose loosely coupled tracking approaches, taking the resulting drawbacks into account, or they propose tightly coupled solutions limited to a fixed chain with few segments, but without any flexibility in changing the skeleton structure. Therefore, this paper proposes a generic approach for tracking arbitrary kinematic chains in a tightly coupled recursive filtering framework. The generic property as well as the tracking stability of the proposed system are demonstrated and initial experimental results concerning its accuracy are also presented.