TY - JOUR
T1 - Biomechanical analysis using Kinovea for sports application
AU - Nor Adnan, Nor Muaza
AU - Ab Patar, Mohd Nor Azmi
AU - Lee, Hokyoo
AU - Yamamoto, Shin Ichiroh
AU - Jong-Young, Lee
AU - Mahmud, Jamaluddin
N1 - Funding Information:
The main research has been funded by the Ministry of Higher Education (MOHE) Malaysia and Universiti Teknologi MARA under the Fundamental Research Grant Scheme, grant no. 600– RMI/FRGS 5/3 (0098/2016). Informed consent was obtained from all the volunteered subjects with ethical approval from Universiti Teknologi MARA Research Ethics Committee, under the part of study related to the development of motion capture-analysis system using Kinect and Matlab (REC/187/16) and 600-RMI/FRGS 5/3 (76/2013)).
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/4/6
Y1 - 2018/4/6
N2 - This paper assesses the reliability of HD VideoCam-Kinovea as an alternative tool in conducting motion analysis and measuring knee relative angle of drop jump movement. The motion capture and analysis procedure were conducted in the Biomechanics Lab, Shibaura Institute of Technology, Omiya Campus, Japan. A healthy subject without any gait disorder (BMI of 28.60 1.40) was recruited. The volunteered subject was asked to per the drop jump movement on preset platform and the motion was simultaneously recorded using an established infrared motion capture system (Hawk-Cortex) and a HD VideoCam in the sagittal plane only. The capture was repeated for 5 times. The outputs (video recordings) from the HD VideoCam were input into Kinovea (an open-source software) and the drop jump pattern was tracked and analysed. These data are compared with the drop jump pattern tracked and analysed earlier using the Hawk-Cortex system. In general, the results obtained (drop jump pattern) using the HD VideoCam-Kinovea are close to the results obtained using the established motion capture system. Basic statistical analyses show that most average variances are less than 10%, thus proving the repeatability of the protocol and the reliability of the results. It can be concluded that the integration of HD VideoCam-Kinovea has the potential to become a reliable motion capture-analysis system. Moreover, it is low cost, portable and easy to use. As a conclusion, the current study and its findings are found useful and has contributed to enhance significant knowledge pertaining to motion capture-analysis, drop jump movement and HD VideoCam-Kinovea integration.
AB - This paper assesses the reliability of HD VideoCam-Kinovea as an alternative tool in conducting motion analysis and measuring knee relative angle of drop jump movement. The motion capture and analysis procedure were conducted in the Biomechanics Lab, Shibaura Institute of Technology, Omiya Campus, Japan. A healthy subject without any gait disorder (BMI of 28.60 1.40) was recruited. The volunteered subject was asked to per the drop jump movement on preset platform and the motion was simultaneously recorded using an established infrared motion capture system (Hawk-Cortex) and a HD VideoCam in the sagittal plane only. The capture was repeated for 5 times. The outputs (video recordings) from the HD VideoCam were input into Kinovea (an open-source software) and the drop jump pattern was tracked and analysed. These data are compared with the drop jump pattern tracked and analysed earlier using the Hawk-Cortex system. In general, the results obtained (drop jump pattern) using the HD VideoCam-Kinovea are close to the results obtained using the established motion capture system. Basic statistical analyses show that most average variances are less than 10%, thus proving the repeatability of the protocol and the reliability of the results. It can be concluded that the integration of HD VideoCam-Kinovea has the potential to become a reliable motion capture-analysis system. Moreover, it is low cost, portable and easy to use. As a conclusion, the current study and its findings are found useful and has contributed to enhance significant knowledge pertaining to motion capture-analysis, drop jump movement and HD VideoCam-Kinovea integration.
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U2 - 10.1088/1757-899X/342/1/012097
DO - 10.1088/1757-899X/342/1/012097
M3 - Conference article
AN - SCOPUS:85046273513
SN - 1757-8981
VL - 342
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 1
M1 - 012097
T2 - International Conference on Innovative Technology, Engineering and Sciences 2018, iCITES 2018
Y2 - 1 March 2018 through 2 March 2018
ER -