Show simple item record

dc.contributor.authorSun, Jianfeien
dc.contributor.authorWang, Zuminen
dc.contributor.authorChen, Limingen
dc.contributor.authorWang, Baofengen
dc.contributor.authorJi, Changqingen
dc.contributor.authorTao, Shuaien
dc.date.accessioned2017-03-20T16:16:03Z
dc.date.available2017-03-20T16:16:03Z
dc.date.issued2016-03-07
dc.identifier.citationSun, J. et al. (2016) A Plantar Inclinometer Based Approach to Fall Detection in Open Environments. Emerging Trends and Advanced Technologies for Computational Intelligence, Volume 647 of the series Studies in Computational Intelligence, Springer, 647, pp 1-13en
dc.identifier.isbn9783319333519
dc.identifier.urihttp://hdl.handle.net/2086/13760
dc.description.abstractIn this paper, we report a threshold-based method of fall detection using plantar inclinometer sensor, which provides us the information of angle variations during walking, and of angle status after a fall. The angle variations and status are collected in three-dimensional space. We analyzed the normal range of angle variations during walking, and selected the thresholds by testing the distribution of plantar angles of falls. In the experiments, thresholds were selected from plantar angles of fall status in four directions: forward, backward, left and right. Using the selected thresholds, we detected falls of five subjects in different situations for five hundred times and obtained the average detection rate of 85.4 %.en
dc.publisherSpringeren
dc.titleA Plantar Inclinometer Based Approach to Fall Detection in Open Environmentsen
dc.typeBook chapteren
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-319-33353-3_1
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NCen
dc.date.acceptance2015-10-19en
dc.researchinstituteCyber Technology Institute (CTI)en


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record