Patent ID: 8977522
Filing Date: 2015-03-10
Classification: A61B,A63B,G06F,G06N,G16H

Abstract:
1. A system for observing a walking activity of a person, comprising: a device comprising one or more of a magnetometer, an accelerometer, and a gyrometer, for delivering at output, for a footstep of the person: said system further comprising an analysis module communicatively coupled to the device, the analysis module comprising a processor configured to analyze signals delivered by the device and to determine, only from an analysis of these signals, a type of walking of the user as a function of time by using a hidden Markov model with N states corresponding respectively to N types of walking; wherein: a probability density p in which: |Σ| represents an absolute value of a determinant of a diagonal matrix Σ of dimension 3 representative of the state of the hidden Markov model corresponding to said type of walking; the probability density of correspondence between the signals delivered by the device and the state of the hidden Markov model representing the type of walking is defined by a linear combination of said first expressions for probability densities of the set of types of walking, a sum of the coefficients of said linear combination being equal to 1; the analysis module is further configured to determine the type of walking of the user from among a set of at least two types of walking comprising walking on a flat surface, walking down a descent, walking up a climb, climbing a staircase, and descending a staircase; and for walking on the flat surface, the three components μ