Analysis of Human Gait Cycle with Body Equilibrium based on leg Orientation

Authors

Muhammad Asif, National University of Science and Technology - PakistanFollow
Muhammad Abdullah Tayyab, University of Engineering and Technology TaxilaFollow
Muhammad Hammad Shahid, University of Engineering and Technology TaxilaFollow
Usama Arif, University of Engineering and Technology TaxilaFollow
Mohsin Islam Tiwana, National University of Science and Technology - PakistanFollow
Umar Shahbaz Khan, National University of Science and Technology - PakistanFollow
Waqar Shahid Qureshi, Technological University DublinFollow

Author ORCID Identifier

https://orcid.org/0000-0003-0176-8145

Document Type

Article

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Disciplines

Computer Sciences, Bioinformatics

Publication Details

Received 10 September 2022, accepted 6 November 2022.

Digital Object Identifier 10.1109/ACCESS.2022.3222859

https://ieeexplore.ieee.org/document/9954005

Abstract

Gait analysis identifies the posture during movement in order to provide the correct actions for a normal gait. A person's gait may differ from others and can be recognized by specific patterns. Healthy individuals exhibit normal gait patterns, while lower limb amputees exhibit abnormal gait patterns. To better understand the pitfalls of gait, it is imperative to develop systems capable of capturing the gait patterns of healthy individuals. The main objective of this research was to introduce a new concept in gait analysis by computing the static and dynamic equilibrium in a real-world environment. A relationship was also presented among the parameters stated as static \& dynamic equilibrium, speed, and body states. A sensing unit was installed on the designed metal-based leg mounting assembly on the lateral side of the leg. An algorithm was proposed based on two variables: the position of the leg in space and the angle of the knee joint measured by an IMU sensor and a rotary encoder. It was acceptable to satisfy the static conditions when the body was in a fixed position and orientation, whether lying down or standing. While walking and running, the orientation is determined by the position and knee angle variables, which fulfill the dynamic condition. High speed reveals a rapid change in orientation, while slow speed reveals a slow change in orientation. The proposed encoder-based feedback system successfully determined the flexion at 47$^\circ$, extension at 153$^\circ$, and all seven gait cycle phases were recognized within this range of motion. Body equilibrium facilitates individuals when they are at risk of falling or slipping.

DOI

https://doi.org/10.1109/ACCESS.2022.3222859

Recommended Citation

M. Asif et al., "Analysis of Human Gait Cycle With Body Equilibrium Based on Leg Orientation," in IEEE Access, 2022, doi: 10.1109/ACCESS.2022.3222859.