Publikation

Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion

Alessandro Filippeschi; Norbert Schmitz; Markus Miezal; Gabriele Bleser-Taetz; Emanuele Ruffaldi; Didier Stricker

In: Giancarlo Fortino; Hassan Ghasemzadeh; Wenfeng Li; Yin Zhang; Luca Benini (Hrsg.). Sensors - Open Access Journal (Sensors), Vol. 17, No. 6, Pages 1-40, MDPI AG, Basel, Schweiz, 6/2017.

Zusammenfassung

Motion tracking based on commercial inertial measurements units (IMUs) has been widely studied in the latter years as it is a cost-effective enabling technology for those applications in which motion tracking based on optical technologies is unsuitable. This measurement method has a high impact in human performance assessment and human-robot interaction. IMU motion tracking systems are indeed self-contained and wearable, allowing for long-lasting tracking of the user motion in situated environments. After a survey on IMU-based human tracking, five techniques for motion reconstruction were selected and compared to reconstruct a human arm motion. IMU based estimation was matched against motion tracking based on the Vicon marker-based motion tracking system considered as ground truth. Results show that all but one of the selected models perform similarly (about 35 mm average position estimation error).

Projekte

Weitere Links

Survey_of_Motion_Tracking_Methods.pdf (pdf, 2 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence