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Article Dans Une Revue International Journal of Computational Cognition Année : 2005

Classification of the Car Seats by Detecting the Muscular Fatigue in the EMG Signal

Mirna Atieh
  • Fonction : Auteur
Rafic Younes
Mohamad Khalil
  • Fonction : Auteur
Herman Akdag
  • Fonction : Auteur
  • PersonId : 903641

Résumé

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.
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Dates et versions

hal-01170983 , version 1 (02-07-2015)

Identifiants

  • HAL Id : hal-01170983 , version 1

Citer

Mirna Atieh, Rafic Younes, Mohamad Khalil, Herman Akdag. Classification of the Car Seats by Detecting the Muscular Fatigue in the EMG Signal. International Journal of Computational Cognition, 2005, 3 (4), pp.48-54. ⟨hal-01170983⟩
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