Title :
Experimental comparison of orientation estimation algorithms in motion tracking for rehabilitation
Author :
Daponte, P. ; De Vito, L. ; Riccio, M. ; Sementa, C.
Author_Institution :
Dept. of Eng., Univ. of Sannio, Benevento, Italy
Abstract :
This paper presents the experimental comparison of data fusion algorithms for human motion tracking in rehabilitation, using Inertial Measurement Units. Three algorithms for orientation estimation, taken from the scientific literature in the field, have been selected and their capability of accurately tracking the angle of a selected joint has been evaluated. In particular, two phases of experimental analysis have been carried out. The former, in laboratory, was directed to verify the capability of the algorithms of tracking a fixed angle range. In the latter, carried out in a rehabilitation center, the results obtained by the considered algorithms have been compared with those provided by a vision-based motion tracking system.
Keywords :
biomechanics; biomedical measurement; inertial systems; medical signal processing; object tracking; patient rehabilitation; sensor fusion; Inertial Measurement Units; data fusion algorithms; experimental analysis; experimental comparison; fixed angle range; human motion tracking; orientation estimation algorithms; rehabilitation center; vision-based motion tracking system; Algorithm design and analysis; Estimation; Kalman filters; Magnetometers; Quaternions; Sensors; Vectors;
Conference_Titel :
Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
Conference_Location :
Lisboa
Print_ISBN :
978-1-4799-2920-7
DOI :
10.1109/MeMeA.2014.6860048