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- W100406987 abstract "The objective of this paper is to evaluate and detect muscular tiredness in natural activities, in particular, to select the most comfortable car seat. This work consists to identifying and to classify the EMG signal of the techniques from data mining and from the statistical techniques. We thus tried hybridization between some to lead to a better separation between the classes. The methods of clustering will be applied to some signals resulting from the experiments of discomfort of long duration on seats of different vehicles. These methods consist in separating segments EMG in two classes corresponding to the frequential variation from EMG signal." @default.
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- W100406987 date "2005-03-01" @default.
- W100406987 modified "2023-09-23" @default.
- W100406987 title "Identification des segments EMG par Data Mining et Statistiques" @default.
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