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- W2108795198 abstract "The ability to rise from a chair is an important parameter to assess the balance deficits of a person. In particular, this can be an indication of risk for falling in elderly persons. Our goal is automated assessment of fall risk using video data. Towards this goal, we present a simple yet effective method of detecting transition, i.e. sit-to-stand and stand-to-sit, from image frames using fuzzy clustering methods on image moments. The technique described in this paper is shown to be robust even in the presence of noise and has been tested on several data sequences using different subjects yielding promising results." @default.
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- W2108795198 date "2010-07-01" @default.
- W2108795198 modified "2023-09-29" @default.
- W2108795198 title "Sit-to-stand detection using fuzzy clustering techniques" @default.
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- W2108795198 doi "https://doi.org/10.1109/fuzzy.2010.5584843" @default.
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