Development of gait GIS by using IMU
People adjust their gait by interacting with the surrounding environment. Thus, hidden factors in the environment such as fall risk that influence the gait can be exposed by measuring its change during daily walking. For this purpose, in this paper, we employed wearable IMU sensors that enables meas...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Japanese |
| Published: |
The Japan Society of Mechanical Engineers
2018-08-01
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| Series: | Nihon Kikai Gakkai ronbunshu |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/transjsme/84/864/84_18-00060/_pdf/-char/en |
| _version_ | 1828099143090831360 |
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| author | Akira SAWATOME Mitsunori TADA Hiroshi TAKEMURA |
| author_facet | Akira SAWATOME Mitsunori TADA Hiroshi TAKEMURA |
| author_sort | Akira SAWATOME |
| collection | DOAJ |
| description | People adjust their gait by interacting with the surrounding environment. Thus, hidden factors in the environment such as fall risk that influence the gait can be exposed by measuring its change during daily walking. For this purpose, in this paper, we employed wearable IMU sensors that enables measurement of stride length and stride time of the pedestrian without environment fixed MoCap system. We also used the GPS receiver for measuring the global position of the pedestrian simultaneously, since the IMU sensors only offer a local change of the gait. The change of the stride length and the stride time were calculated from the IMU sensors and mapped onto the geographic map referring to the GPS data for constructing the Geographical Information System (GIS) of the gait. These gait indices changed according to the type of the walkway, plane, stair, and slope. Also, even in the same walkway, the indices changed by the environmental factors such as obstacles, walking direction and traffic light. The experimental results suggest that measurement of the gait during daily walking in the daily environment seemed to have the potential to expose the factors hidden in the environment such as the fall risk that influence the gait. |
| first_indexed | 2024-04-11T08:12:27Z |
| format | Article |
| id | doaj.art-60c85750eeed465babc6a8093cf5202c |
| institution | Directory Open Access Journal |
| issn | 2187-9761 |
| language | Japanese |
| last_indexed | 2024-04-11T08:12:27Z |
| publishDate | 2018-08-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Nihon Kikai Gakkai ronbunshu |
| spelling | doaj.art-60c85750eeed465babc6a8093cf5202c2022-12-22T04:35:16ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612018-08-018486418-0006018-0006010.1299/transjsme.18-00060transjsmeDevelopment of gait GIS by using IMUAkira SAWATOME0Mitsunori TADA1Hiroshi TAKEMURA2Tokyo University of Science, Japan Society for the Promotion of ScienceNational Institute of Advanced Industrial Science and TechnologyTokyo University of SciencePeople adjust their gait by interacting with the surrounding environment. Thus, hidden factors in the environment such as fall risk that influence the gait can be exposed by measuring its change during daily walking. For this purpose, in this paper, we employed wearable IMU sensors that enables measurement of stride length and stride time of the pedestrian without environment fixed MoCap system. We also used the GPS receiver for measuring the global position of the pedestrian simultaneously, since the IMU sensors only offer a local change of the gait. The change of the stride length and the stride time were calculated from the IMU sensors and mapped onto the geographic map referring to the GPS data for constructing the Geographical Information System (GIS) of the gait. These gait indices changed according to the type of the walkway, plane, stair, and slope. Also, even in the same walkway, the indices changed by the environmental factors such as obstacles, walking direction and traffic light. The experimental results suggest that measurement of the gait during daily walking in the daily environment seemed to have the potential to expose the factors hidden in the environment such as the fall risk that influence the gait.https://www.jstage.jst.go.jp/article/transjsme/84/864/84_18-00060/_pdf/-char/enimugaitgpsgisstride length |
| spellingShingle | Akira SAWATOME Mitsunori TADA Hiroshi TAKEMURA Development of gait GIS by using IMU Nihon Kikai Gakkai ronbunshu imu gait gps gis stride length |
| title | Development of gait GIS by using IMU |
| title_full | Development of gait GIS by using IMU |
| title_fullStr | Development of gait GIS by using IMU |
| title_full_unstemmed | Development of gait GIS by using IMU |
| title_short | Development of gait GIS by using IMU |
| title_sort | development of gait gis by using imu |
| topic | imu gait gps gis stride length |
| url | https://www.jstage.jst.go.jp/article/transjsme/84/864/84_18-00060/_pdf/-char/en |
| work_keys_str_mv | AT akirasawatome developmentofgaitgisbyusingimu AT mitsunoritada developmentofgaitgisbyusingimu AT hiroshitakemura developmentofgaitgisbyusingimu |