Abstract
One of the major public health problems among elderly people is falling injury. This study investigates fall detection and prevention by using inertial sensors for which the major existing challenging is how to significantly reduce false alarming in order to enhance the acceptance of elderly users during rehabilitation and daily exercises. Different from most existing approaches in the literature, the behavior after falling will be analyzed in details, which can not only greatly reduce false alarming, but also significantly improves the accuracy of the assessment of the severity of falling injuries.
Original language | English |
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Title of host publication | Proceedings of the Third IASTED International Conference on Telehealth and Assistive Technology (TAT 2016) |
Editors | M. H. Hamza |
Place of Publication | Calgary, Canada |
Publisher | ACTA Press |
Pages | 36-43 |
Number of pages | 8 |
ISBN (Print) | 9780889869868 |
DOIs | |
Publication status | Published - 17 Oct 2016 |
Externally published | Yes |
Event | IASTED International Conference on Telehealth and Assistive Technology (3rd : 2016) - Zurich, Switzerland Duration: 6 Oct 2016 → 8 Oct 2016 |
Other
Other | IASTED International Conference on Telehealth and Assistive Technology (3rd : 2016) |
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Abbreviated title | TAT 2016 |
Country/Territory | Switzerland |
City | Zurich |
Period | 6/10/16 → 8/10/16 |
Keywords
- Fall detection
- Inertial sensor
- Post fall behavior