Abstract
Human postural sway is the horizontal movement, which is generated to control a person’s balance while walking or standing. Changes in postural sway patterns are a reflection of changes in brain signals and in physical health affected by a person’s aging process. This increases the likelihood of falling. In this paper, we propose a method to estimate the age groups of elderly people based on the extracted sway measurements. These measurements are computed based on learning the postural sway signal from video footage only. Then, we use the person’s real age and the estimated age group to define a risk of a fall for the elderly people becoming more likely. This may lead to an early intervention and help them to prevent serious falls or injuries by putting countermeasures in place, e.g. physical exercise regimes. The conducted experiments show the reliability of the proposed method to produce a risk analysis tool for elderly based on their estimated sway signals.
Original language | English |
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Title of host publication | 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
Editors | Riccardo Barbieri |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 392-398 |
Number of pages | 7 |
ISBN (Electronic) | 9781538613115 |
ISBN (Print) | 9781538613122 |
DOIs | |
Publication status | Published - 2019 |
Event | 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Berlin, Germany Duration: 23 Jul 2019 → 27 Jul 2019 https://embc.embs.org/2019/ |
Publication series
Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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ISSN (Print) | 1557-170X |
Conference
Conference | 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
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Abbreviated title | EMBC 2019 |
Country/Territory | Germany |
City | Berlin |
Period | 23/07/19 → 27/07/19 |
Internet address |