A Study on the Method of Differentiating Between Elderly Walking and Non-Senior Walking Using Machine Learning Models


KIPS Transactions on Computer and Communication Systems, Vol. 10, No. 9, pp. 251-260, Sep. 2021
https://doi.org/10.3745/KTCCS.2021.10.9.251,   PDF Download:
Keywords: Gait Analysis, Machine Learning, Supervised Learning, Neural Network Models
Abstract

Gait analysis is one of the research fields for obtaining various information related to gait by analyzing human ambulation. It has been studied for a long time not only in the medical field but also in various academic areas such as mechanical engineering, electronic engineering, and computer engineering. Efforts have been made to determine whether there is a problem with gait through gait analysis. In this paper, as a pre-step to find out gait abnormalities, it is investigated whether it is possible to differentiate whether experiment participants wear elderly simulation suit or not by applying gait data to machine learning models for the same person. For a total of 45 participants, each gait data was collected before and after wearing the simulation suit, and a total of six machine learning models were used to learn the collected data. As a result of using an artificial neural network model to distinguish whether or not the participants wear the suit, it showed 99% accuracy. What this study suggests is that we explored the possibility of judging the presence or absence of abnormality in gait by using machine learning.


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Cite this article
[IEEE Style]
G. Y. Kim, S. H. Jeong, S. H. Eom, S. W. Jang, S. Y. Lee, S. Cho, "A Study on the Method of Differentiating Between Elderly Walking and Non-Senior Walking Using Machine Learning Models," KIPS Transactions on Computer and Communication Systems, vol. 10, no. 9, pp. 251-260, 2021. DOI: https://doi.org/10.3745/KTCCS.2021.10.9.251.

[ACM Style]
Ga Young Kim, Su Hwan Jeong, Soo Hyeon Eom, Seong Won Jang, So Yeon Lee, and Sangil Cho. 2021. A Study on the Method of Differentiating Between Elderly Walking and Non-Senior Walking Using Machine Learning Models. KIPS Transactions on Computer and Communication Systems, 10, 9, (2021), 251-260. DOI: https://doi.org/10.3745/KTCCS.2021.10.9.251.