Title :
A depth-based joints estimatio n algorithm for get up and go test using Kinect
Author :
Cippitelli, Enea ; Gasparrini, S. ; Gambi, Ennio ; Spinsante, Susanna
Author_Institution :
Dept. of Inf. Eng., Univ. Politec. delle Marche, Ancona, Italy
Abstract :
Depth-data provided by Kinect are used by an innovative marker-less solution, to estimate the trajectories of six side skeleton joints, for objective gait analysis. Anthropometric models, used to extract joints coordinates, avoid unnecessary resource-consuming computations. The reliability of the proposed solution is shown, by comparison with a traditional marker-based system.
Keywords :
gait analysis; image sensors; medical image processing; motion estimation; Kinect; anthropometric models; depth-based joints estimation algorithm; depth-data; get up; go test; marker-based system; marker-less solution; objective gait analysis; resource-consuming computations; skeleton joints; Computational modeling; Estimation; Feature extraction; Joints; Shape; Trajectory;
Conference_Titel :
Consumer Electronics (ICCE), 2014 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-1290-2
DOI :
10.1109/ICCE.2014.6775983
