TY - GEN
T1 - Walking Gait Analysis
T2 - 13th IEEE Control and System Graduate Research Colloquium, ICSGRC 2022
AU - Yusof, Ya'akob
AU - Hisham, Nur Amirah Hanisah
AU - Patar, Mohd Nor Azmi Ab
AU - Le, Chi Hieu
AU - Mahmud, Jamaluddin
AU - Lee, Hokyoo
AU - Yamamoto, Shinichirou
AU - Herawati, Lilik
N1 - Funding Information:
This study is part of a research-based collaboration between Universiti Teknologi MARA (UiTM), Malaysia and Shibaura Institute of Technology (SIT), Japan. The related work was funded by the Fundamental Research Grant Scheme (600–RMI/FRGS 5/3 (0098/2016)) and SIT-UiTM Visiting Researchers Programme 2016.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This study explores the capability of HD VideoCam-Kinovea as a reliable approach to perform motion analysis and to compute the relative angle of ankle during walking. The motion capture and analysis procedures were conducted at the Biomechanics Lab, Shibaura Institute of Technology, Omiya Campus, Japan. To perform the analysis, a healthy subject with mean BMI of 28.60 ± 1.40 was recruited. A platform was set up and the subject was assigned to walk on it for the required times. The walking gait of the subject was recorded concurrently for 10 times by using recognizable infrared motion capture system, Hawk-Cortex, and a HD VideoCam in the plane that is at the longitudinal axis to the subject. The walking gait pattern recorded by the infrared cameras were analyzed by the Cortex, whereas the recording from the HD VideoCam were examined by the Kinovea software. As can be seen from this study, the HD VideoCam-Kinovea has the potential to become a reliable motion capture and analysis system. From the eight output analyzed by Kinovea, six of them have a percentage difference between 0.82% to 4.07% when compared to the other method, Cortex. This shows the capability of Kinovea in performing reliable analysis. Besides, it is also relatively more economical and easier to utilize. It can be concluded that the results have contributed to enhance the importance of knowledge related to motion capture-analysis, walking gait and the implementation of HD VideoCam-Kinovea in motion analysis.
AB - This study explores the capability of HD VideoCam-Kinovea as a reliable approach to perform motion analysis and to compute the relative angle of ankle during walking. The motion capture and analysis procedures were conducted at the Biomechanics Lab, Shibaura Institute of Technology, Omiya Campus, Japan. To perform the analysis, a healthy subject with mean BMI of 28.60 ± 1.40 was recruited. A platform was set up and the subject was assigned to walk on it for the required times. The walking gait of the subject was recorded concurrently for 10 times by using recognizable infrared motion capture system, Hawk-Cortex, and a HD VideoCam in the plane that is at the longitudinal axis to the subject. The walking gait pattern recorded by the infrared cameras were analyzed by the Cortex, whereas the recording from the HD VideoCam were examined by the Kinovea software. As can be seen from this study, the HD VideoCam-Kinovea has the potential to become a reliable motion capture and analysis system. From the eight output analyzed by Kinovea, six of them have a percentage difference between 0.82% to 4.07% when compared to the other method, Cortex. This shows the capability of Kinovea in performing reliable analysis. Besides, it is also relatively more economical and easier to utilize. It can be concluded that the results have contributed to enhance the importance of knowledge related to motion capture-analysis, walking gait and the implementation of HD VideoCam-Kinovea in motion analysis.
KW - Cortex
KW - Kinovea
KW - relative ankle angle
KW - walking gait
UR - http://www.scopus.com/inward/record.url?scp=85137139244&partnerID=8YFLogxK
U2 - 10.1109/ICSGRC55096.2022.9845136
DO - 10.1109/ICSGRC55096.2022.9845136
M3 - Conference contribution
AN - SCOPUS:85137139244
T3 - 2022 IEEE 13th Control and System Graduate Research Colloquium, ICSGRC 2022 - Conference Proceedings
SP - 187
EP - 191
BT - 2022 IEEE 13th Control and System Graduate Research Colloquium, ICSGRC 2022 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 23 July 2022
ER -