Fall Detection Using Plantar Inclinometer Sensor
| dc.cclicence | CC-BY-NC | en |
| dc.contributor.author | Sun, Jianfei | en |
| dc.contributor.author | Wang, Zumin | en |
| dc.contributor.author | Pei, Bingnan | en |
| dc.contributor.author | Tao, Shuai | en |
| dc.contributor.author | Chen, Liming | en |
| dc.date.acceptance | 2016-04-21 | en |
| dc.date.accessioned | 2017-03-21T10:55:54Z | |
| dc.date.available | 2017-03-21T10:55:54Z | |
| dc.date.issued | 2016-07-21 | |
| dc.description.abstract | In this paper, we report a 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. We analyzed the normal range of angle variations during walking, and selected the thresholds by testing the distribution of plantar angles after 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 in different situations for one hundred times and obtained the detection rate of 92%. | en |
| dc.funder | N/A | en |
| dc.identifier.citation | Sun, J. et al. (2016) Fall Detection Using Plantar Inclinometer Sensor. Proceeding of UIC-ATC-ScalCom-CBDCom-IoP 2015, pp. 1692-1697 | en |
| dc.identifier.doi | https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.308 | |
| dc.identifier.isbn | 9781467372121 | |
| dc.identifier.uri | http://hdl.handle.net/2086/13779 | |
| dc.peerreviewed | Yes | en |
| dc.projectid | N/A | en |
| dc.publisher | IEEE | en |
| dc.researchinstitute | Cyber Technology Institute (CTI) | en |
| dc.subject | inclinometer | en |
| dc.subject | fall detection | en |
| dc.subject | plantar sensor | en |
| dc.title | Fall Detection Using Plantar Inclinometer Sensor | en |
| dc.type | Conference | en |