| Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01051 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/e3sconf/202339101051 | |
| Published online | 05 June 2023 | |
Optimization and Analysis of Female Foot Anthropometry
1 Department of Mechanical and Mechatronics Engineering, Afe Babalola University, Ado-Ekiti, 360101, Nigeria
2 Department of Mechanical Engineering Science, University of Johannesburg, 2092, South Africa
3 Department of Physics. Bowen University. Iwo. Nigeria
* Corresponding Author: monyeis@abuad.edu.ng
The dynamic nature of the population makes it necessary to have reliable and updated data on the human foot dimensions. Many factors are responsible for the different forms and structures of the human foot, such as age, gender, nutrition, and genetic composition, among others. This study was carried out to optimize and analyse the various foot dimensions of the female subjects. A total of 200 female subjects participated willingly in the study, and 27-foot measurements were obtained. The results revealed the mean foot length to be 24.7cm with an SD of 1.2 while the mean foot breadth was obtained as 9.3cm having an SD of 0.6cm. The mean obtained was 58.7kg having a standard deviation of 12.5. From the findings, it can be concluded that a statistically significant correlation exists between foot length and body weight (p<0.001), with the value being r = 0.48 and also that for foot breadth and body weight being(r = 0.49). These findings were compared to those from other studies, and it was concluded that the variation in the values could be due to environmental, ethnic, and racial differences.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.