Publikation

Body-IMU autocalibration for inertial hip and knee joint tracking

Sarvenaz Salehi Mourkani, Gabriele Bleser, Attila Reiss, Didier Stricker

In: Proceedings of the 10th EAI International Conference on Body Area Networks |. International Conference on Body Area Networks (Bodynets-2015) September 28-30 Sydney NSW Australia ISBN 978-1-63190-084-6 ACM 2015.

Abstrakt

Sensor to body calibration is a key requirement for capturing accurate body movements in applications based on wearable systems. In this paper, we consider the specific problem of estimating the positions of multiple inertial measurement units (IMUs) relative to the adjacent body joints. To derive an efficient, robust and precise method based on a practical procedure is a crucial as well as challenging task when developing a wearable system with multiple embedded IMUs. In this work, first, we perform a theoretical analysis of an existing position calibration method, showing its limited applicability for the hip and knee joint. Based on this, we propose a method for simultaneously estimating the positions of three IMUs (mounted on pelvis, upper leg, lower leg) relative to these joints.The latter are here considered as an ensemble. Finally, we perform an experimental evaluation based on simulated and real data, showing the improvements of our calibration method as well as lines of future work.

Weitere Links

p51-salehi.pdf (pdf, 265 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence