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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Simulation dynamique de perte d'équilibre : Application aux passagers debout de transport en commun / Dynamic simulation of balance recovery : Application to the standing passengers of public transport

Aftab, Zohaib 21 December 2012 (has links)
La perte d'équilibre chez l'humain est un phénomène courant de la vie quotidienne. Plusieurs causes peuvent être identifiées, dont notamment des perturbations extérieures. Le scénario qui nous intéresse particulièrement est celui des passagers debout dans les transports en commun. La combinaison de plusieurs études accidentologiques fait ressortir un risque de blessure important pour ce type de situations, surtout pour des passagers debout et/ou âgées. Ces incidents en gendrent des blessures qui coûtent très cher au niveau du budget de la santé. La sécurité de ces passagers est donc à l’origine de ce travail. La perte et/ou le rattrapage d’équilibre est une question complexe qui met en jeu un ensemble de phénomènes tels que la perception de la perturbation, le traitement de l’information, la prise de décision et la mise en œuvre d’actions correctrices. Bien que les connaissances théoriques sur chacun de ces phénomènes soient avancées, il n’existe pas, à l’heure actuelle, de modèle global permettant de représenter la réaction des personnes dans des situations aussi concrètes et complexes que celle des passagers debout de transport en commun.Dans ce contexte, l’objectif principal de ce travail était de développer un outil de simulation pour évaluer les risques associés à la perte d’équilibre des passagers de transport en commun. / Loss of balance is a common phenomenon in our society resulting in injuries and even deaths each year. Among other common sources of destabilization such as slips or trips from an obstacle, the public transportation vehicles are a major source of balance-related injuries to its passengers. Accidental data suggest that the passenger casualties in these vehicles are common, especially to the standing and the elderly passengers, mainly due to the sudden acceleration/deceleration changes of the vehicle. These injuries as well as associated discomfort may discourage people from using these means of transport resulting in adverse economic and societal effects. In this context, the security of the standing passengers in these vehicles constitutes the main motivation of this work.Recovering balance from an external disturbance is a complex process which involves a set of phenomenon such as the perception of the disturbance, information processing, decision making and its implementation. Even though experimental research in the fields of biomechanics and neurosciences provide us with a fair understanding of these phenomena separately, we are unaware of a global model which represents the reaction of people in response to the external disturbances to their equilibrium. In this context, the objective of this work is to develop such a numerical tool which can be used for the assessment of risks associated with the loss of balance of the standing passengers. The essential feature of this tool is the prediction of the post-disturbance kinematics of the subjects depending upon the disturbance characteristics (magnitude, duration etc.) as well as the active recovery response. Another key feature is the representation of the reaction of different populations, especially the elderly, by integrating age effects in the model. For the development of the tool, mathematical modeling (e.g. simplified body representations) and control ideas are borrowed from the field of biped robotics which explicitly deals with the balance issues of bipeds. Further development is done in view of human balance recovery (BR) characteristics. The resulting BR tool shows reasonable predictive capacity of a human balance recovery response confirmed by the comparison of model predictions with experimental balance recovery data.

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