Abstract: A system for real-time determination of a parameter of a movement having a repetitive form includes first estimating means for estimating an approximation of the period of the repetitive movement, before the end of the current movement, on the basis of representative signals indicative of the movement. A determining means determines a size of a sliding window on the basis of the period estimated by the first estimating means. Finally, a second estimating means precisely estimates, using the sliding window, the movement parameter, on the basis of the representative signals indicative of the movement and of the size of the sliding window delivered by the first estimating means.

Abstract: The invention includes a method for recognizing shapes using a preprocessing mechanism that decomposes a source signal into basic components called atoms and a recognition mechanism that is based on the result of the decomposition performed by the preprocessing mechanism. In the method, the preprocessing mechanism includes at least one learning phase culminating in a set of signals called kernels, the kernels being adapted to minimize a cost function representing the capacity of the kernels to correctly reconstruct the signals from the database while guaranteeing a sparse decomposition of the source signal while using a database of signals representative of the source to be processed and a coding phase for decomposing the source signal into atoms, the atoms being generated by shifting of the kernels according to their index, each of the atoms being associated with a decomposition coefficient. The invention also includes a shape recognition system for implementing the method.

Abstract: The invention pertains to a system for real-time determination of a parameter of a movement (PM, Tp) of repetitive form comprising: first means (EST1) for estimating an approximation (Tr) of the period of said movement of repetitive form, before the end of the current movement, on the basis of representative signals (S1, S2) indicative of said movement; means (DET) for determining a size (F) of sliding window on the basis of said period (Tr) estimated by said first estimating means (EST1); second means (EST2) for precisely estimating, by sliding window, said movement parameter, on the basis of representative signals (S1, S2) indicative of said movement and of said size (F) of sliding window delivered by said first estimating means (EST1).

Abstract: System for counting an elementary displacement of a person, comprising a casing and fixing means for securely tying said casing to a part of the body of said person, comprising: a magnetometer with at least one measurement axis; and calculation means adapted for performing, for each measurement axis, the scalar product of at least one temporal mask and of the component of the signal along the measurement axis over the duration of said mask.

Abstract: The invention includes a method for recognizing shapes using a preprocessing mechanism that decomposes a source signal into basic components called atoms and a recognition mechanism that is based on the result of the decomposition performed by the preprocessing mechanism. In the method, the preprocessing mechanism includes at least one learning phase culminating in a set of signals called kernels, the kernels being adapted to minimize a cost function representing the capacity of the kernels to correctly reconstruct the signals from the database while guaranteeing a sparse decomposition of the source signal while using a database of signals representative of the source to be processed and a coding phase for decomposing the source signal into atoms, the atoms being generated by shifting of the kernels according to their index, each of the atoms being associated with a decomposition coefficient. The invention also includes a shape recognition system for implementing the method.