Harin Kim, Yeon Kang, David R. Valencia, Donghan Kim
{"title":"An Integrated System for Gait Analysis Using FSRs and an IMU","authors":"Harin Kim, Yeon Kang, David R. Valencia, Donghan Kim","doi":"10.1109/IRC.2018.00073","DOIUrl":null,"url":null,"abstract":"In this paper, we developed a system to analyze gait patterns by integrating insole type FSR sensors and IMU sensors. Using this, an experiment was conducted to analyze the walking pattern of the pedestrian, and the reliability of the developed system was verified. The developed system extracts six data (roll, pith, yaw, foot height, foot movement distance, weight on FSR sensors) from each sensor. These data can be used to calculate stride lengths and step lengths which is important when analyzing pedestrian walking patterns. Experiments to verify the developed gait system determine the reliability based on the calculated data with the unit stride (0.5m). As a result, it was confirmed that the step length had an error range of ± 7.17% and the stride length had an error range of ± 6.71%.","PeriodicalId":416113,"journal":{"name":"2018 Second IEEE International Conference on Robotic Computing (IRC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second IEEE International Conference on Robotic Computing (IRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRC.2018.00073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In this paper, we developed a system to analyze gait patterns by integrating insole type FSR sensors and IMU sensors. Using this, an experiment was conducted to analyze the walking pattern of the pedestrian, and the reliability of the developed system was verified. The developed system extracts six data (roll, pith, yaw, foot height, foot movement distance, weight on FSR sensors) from each sensor. These data can be used to calculate stride lengths and step lengths which is important when analyzing pedestrian walking patterns. Experiments to verify the developed gait system determine the reliability based on the calculated data with the unit stride (0.5m). As a result, it was confirmed that the step length had an error range of ± 7.17% and the stride length had an error range of ± 6.71%.