Anticipation of falls from a structure for paraplegics by intelligent methods

The human position is defined by the maintenance of a vertical position of a relation to the ground. A precise understanding equilibrium conditions is an essential starting point for modeling forces in exoskeleton structures. After many experiments, we obtained several heterogeneous data that provide for a particular treatment to anticipate falls.In this article, we are interested in the front fall. Our goal is find and understand the factors and mechanisms influencing this situation in order to improve its anticipation. Thus, we considered an approach based on fuzzy logic to better explain the aspect of uncertainty and ambiguous data, and on data mining algorithms to find the factors that influence the forward drop. The results of our methodology has shown promising associations for anticipating this type of fall.