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- W3147289903 abstract "Fall incidents and sustained injuries are the most dangerous causes of accidents for elderly people, and represent also the third cause of chronic disability. The rapid detection of a fall event can reduce the mortality risk and increases the chance to survive the incident and to return to independent living. A variety of fall detection methods have been published in recent scientific literature. However, they suffer from critical limitations and the number of “false positives” is still unacceptably high. In this paper, the use of a Stepped-Frequency Continuous Wave (SFCW) radar is proposed for non-invasive fall detection and tag-less localization. A fall in principle involves changes both in position and in speed. Measurements have been performed with the radar fixed both on the wall and on the ceiling. In both situations, absolute distance and speed of a target have been measured with good accuracy. By combining these two physical quantities, a fall can be properly detected, distinguishing the fall from both walking and sitting movements. The results show the feasibility of this approach. Moreover, to increase the accuracy of the system and to minimize the number of false positives, next step is to integrate multiple SFCW radars in a wireless sensor network." @default.
- W3147289903 created "2021-04-13" @default.
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- W3147289903 date "2012-01-01" @default.
- W3147289903 modified "2023-10-08" @default.
- W3147289903 title "Investigation of a wireless sensor network for improving in-door fall detection and tag-less localization" @default.
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