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dc.contributor.authorAbhayasinghe, Nimsiri
dc.contributor.authorMurray, Iain
dc.contributor.editorDr. Binghao Li and Mr. Thomas Gallagher
dc.date.accessioned2017-01-30T10:49:15Z
dc.date.available2017-01-30T10:49:15Z
dc.date.created2013-03-24T20:00:31Z
dc.date.issued2012
dc.identifier.citationAbhayasinghe, Nimsiri and Murray, Iain. 2012. A Novel Approach for Indoor Localization Using Human Gait Analysis with Gyroscopic Data, in Li, B. and Gallagher, T. (ed), International Conference on Indoor Positioning and Indoor Navigation, Nov 13-15 2012. Sydney: School of Surveying and Geospatial Engineering.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/5912
dc.description.abstract

Way finding is one of the main difficulties that vision impaired people face, especially in indoor environments. Although Global Positioning System (GPS) based navigation is possible outdoors, the accuracy of GPS is not sufficient for indoor navigation and way finding. Most of the existing indoor localization and path finding techniques depend on additional infrastructure deployed in the environment. This paper proposes a novel technique for indoor localization based on human gait using single-point sensors embedded in mobile devices. It involves inertial sensors and other sensors such as magnetometer, generally embedded into the mobile devices. Progress made from data collection indicates that there is a better correlation of gyroscopic data than acceleration data to the gait of the person. Data was collected in different environments with the involvement of multiple male and female volunteers with no vision impairment or motor disability. The two carrying positions considered in this experiment were in the hip-pocket (pocket of the trouser) and clipped into the belt (hip). Various positioning experiments determined that a possible optimal location for the data gathering device was in the subject’s hip-pocket as compared to placement on the belt (hip region) as the movement of the thigh can be tracked when the device is placed in this position. It was also observed that the gyroscopic data can be used to identify different activities, such as walking on flat land, climbing up and down stairs and walking on inclined planes. Although the amplitude of the signal is small at the beginning and the end of the travel, the gyroscopic signal clearly identifies the step events. It is concluded that gyroscopic data gives promising results in indoor localization using gait analysis when the device is placed in the hip-pocket.

dc.publisherSchool of Surveying and Geospatial Engineering
dc.relation.urihttp://www.academia.edu/8001364/A_Novel_Approach_for_Indoor_Localization_Using_Human_Gait_Analysis_with_Gyroscopic_Data
dc.subjectsingle-point sensors
dc.subjectgait analysis
dc.subjectinertial sensors
dc.subjectgyroscopic data
dc.subjectoff-the-shelf devices
dc.subjectindoor positioning
dc.titleA Novel Approach for Indoor Localization Using Human Gait Analysis with Gyroscopic Data
dc.typeConference Paper
dcterms.source.titleProceedings of the 3rd International Conference on Indoor Positioning and Indoor Navigation (IPIN2012)
dcterms.source.seriesProceedings of the 3rd International Conference on Indoor Positioning and Indoor Navigation (IPIN2012)
dcterms.source.isbn978-0-646-57851-4
dcterms.source.conference2012 International Conference on Indoor Positioning and Indoor Navigation
dcterms.source.conference-start-dateNov 13 2012
dcterms.source.conferencelocationSydney
dcterms.source.placeUniversity of New South Wales, Sydney, Australia
curtin.department
curtin.accessStatusFulltext not available


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