Author
Hamdan, Sara, Öztop, Erhan, Furukawa, J.-I., Morimoto, J., Uğurlu, Regaip Barkan
Publication Date
2018-10-26
Publication Place
-
IEEE
Subject
Biological system modeling, Predictive models, Shoulder, Ground penetrating radar, Biomechanics, Measurement uncertainty, Q measurement
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-153863646-6
Record ID
d256e494-2a84-4996-8439-4146402d4f6b
Library Location
Computer Science, Mechanical Engineering
Date
2018-10-26
Notes
New Energy and Industrial Technology Development Organization ; Japan Society for the Promotion of Science ; Cabinet Office, Government of Japan ; Council for Science, Technology and Innovation ; TÜBİTAK ; Japan Agency for Medical Research and Development.
Sample Text
In this paper, the shoulder glenohumeral displacement during the movement of the upper arm is studied. Four modeling approaches were examined and compared to estimate the humeral head elevation (vertical displacement) and translation (horizontal displacement). A biomechanics-inspired method was used firstly to model the glenohumeral displacement in which a least squares method was implemented for parameter identification. Then, three Gaussian process regression models were used in which the following variable sets were employed: i) shoulder adduction/abduction angle, ii) combination of shoulder adduction/abduction and flexion/extension angles, iii) overall upper arm orientation in the form of quaternions. In order to test the respective performances of these four models, we collected motion capture data and compared the models' representative capabilities. As a result, Gaussian process regression that considered the overall upper arm orientation outperformed the other modeling approaches; however, it should be noted that the other methods also provided accuracy levels that may be sufficient depending on task requirements.
DOI
10.1109/EMBC.2018.8512564
Cilt
2018
