K. Makino, Masahiro Nakamura, Hidenori Omori, H. Terada
{"title":"Gait analysis using Gravity-Center Fluctuation of the sole at walking based on Self-Organizing Map","authors":"K. Makino, Masahiro Nakamura, Hidenori Omori, H. Terada","doi":"10.1109/ISIE.2015.7281590","DOIUrl":null,"url":null,"abstract":"It is important to evaluate the condition of a walk in rehabilitation. In this paper, we focus on Gravity-Center Fluctuation (GCF) of the sole, and analyze the gait motion using Self-Organizing Map (SOM). First, it is clear that the shape of the GCF that is obtained by developed measurement system includes the feature of the gait motion. Secondly, the relation between the shape of GCF and the gait motion is considered by the SOM. Next, we described that the stride width and the walking velocity are predicted. Finally, it is investigated that the position where new test data is arranged on the map is according to prediction. As a consequence, it is shown that the gait motion is able to be analyzed and estimated by the method based on the SOM.","PeriodicalId":377110,"journal":{"name":"2015 IEEE 24th International Symposium on Industrial Electronics (ISIE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 24th International Symposium on Industrial Electronics (ISIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIE.2015.7281590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
It is important to evaluate the condition of a walk in rehabilitation. In this paper, we focus on Gravity-Center Fluctuation (GCF) of the sole, and analyze the gait motion using Self-Organizing Map (SOM). First, it is clear that the shape of the GCF that is obtained by developed measurement system includes the feature of the gait motion. Secondly, the relation between the shape of GCF and the gait motion is considered by the SOM. Next, we described that the stride width and the walking velocity are predicted. Finally, it is investigated that the position where new test data is arranged on the map is according to prediction. As a consequence, it is shown that the gait motion is able to be analyzed and estimated by the method based on the SOM.