Walking Gait Analysis: Kinovea versus Motion Capture System

Ya'akob Yusof, Nur Amirah Hanisah Hisham, Mohd Nor Azmi Ab Patar, Chi Hieu Le, Jamaluddin Mahmud, Hokyoo Lee, Shinichirou Yamamoto, Lilik Herawati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2022 IEEE 13th Control and System Graduate Research Colloquium, ICSGRC 2022 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages187-191
Number of pages5
ISBN (Electronic)9781665468060
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event13th IEEE Control and System Graduate Research Colloquium, ICSGRC 2022 - Shah Alam, Malaysia
Duration: 2022 Jul 23 → …

Publication series

Name2022 IEEE 13th Control and System Graduate Research Colloquium, ICSGRC 2022 - Conference Proceedings

Conference

Conference13th IEEE Control and System Graduate Research Colloquium, ICSGRC 2022
Country/TerritoryMalaysia
CityShah Alam
Period22/7/23 → …

Keywords

  • Cortex
  • Kinovea
  • relative ankle angle
  • walking gait

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Control and Optimization
  • Modelling and Simulation

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