TY - GEN
T1 - Regression model for predicting the maximum load of the movement
AU - Yoopoo, Kunkanit
AU - Ongsritakul Benjarat Tirasirichai, Supakorn
AU - Kusakunniran, Worapan
AU - Robinson, Mark
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - In this paper, the motion information is considered to be essential for calculating the corresponding maximum load of the movement. Due to the high cost of force plates and the challenges on practical scenes, recording the body joints' loading in a direct way is not feasible to do outside the laboratory. Therefore, the main purpose of this paper is to investigate the relationship between the motion pattern and the maximum load, using the regression analysis. In our experiments, the dataset contains 22 subjects. The motion information of each subject is recorded using the 3D motion-capture camera system. The knee's angles, hip's angles, and ankle's angles on sagittal and non-sagittal planes are investigated for predicting the maximum loads. Finally, the proposed method can achieve the average relative error about twelve percent for the prediction.
AB - In this paper, the motion information is considered to be essential for calculating the corresponding maximum load of the movement. Due to the high cost of force plates and the challenges on practical scenes, recording the body joints' loading in a direct way is not feasible to do outside the laboratory. Therefore, the main purpose of this paper is to investigate the relationship between the motion pattern and the maximum load, using the regression analysis. In our experiments, the dataset contains 22 subjects. The motion information of each subject is recorded using the 3D motion-capture camera system. The knee's angles, hip's angles, and ankle's angles on sagittal and non-sagittal planes are investigated for predicting the maximum loads. Finally, the proposed method can achieve the average relative error about twelve percent for the prediction.
KW - angles
KW - maximum load prediction
KW - moments
KW - motion patterns
KW - regression analysis
UR - https://www.scopus.com/pages/publications/85049426797
U2 - 10.1109/INCIT.2017.8257859
DO - 10.1109/INCIT.2017.8257859
M3 - Conference contribution
AN - SCOPUS:85049426797
T3 - Proceeding of 2017 2nd International Conference on Information Technology, INCIT 2017
SP - 1
EP - 4
BT - Proceeding of 2017 2nd International Conference on Information Technology, INCIT 2017
A2 - Sawangphol, Wudhichart
A2 - Mitrpanont, Jarernsri L.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Information Technology, INCIT 2017
Y2 - 2 November 2017 through 3 November 2017
ER -