Abstract: The invention relates to a method and system for inferring the behavior or state of the driver of a vehicle, use of the method and computer program for carrying out the method The method comprises evaluating a series of descriptive functions of the conditions of interaction of the driver with the vehicle based at least on information from inertial sensors of an autonomous computation device, by comparing such evaluation with reference information associated with a behavior of the driver that is considered normal. The system is suitable for implementing the method of the invention. The use is for detecting behavioral changes of a driver. The computer program is suitable for performing the steps of the method of the invention.

Abstract: The invention relates to a method and system for inferring the behavior or state of the driver of a vehicle, use of the method and computer program for carrying out the method The method comprises evaluating a series of descriptive functions of the conditions of interaction of the driver with the vehicle based at least on information from inertial sensors of an autonomous computation device, by comparing such evaluation with reference information associated with a behavior of the driver that is considered normal. The system is suitable for implementing the method of the invention. The use is for detecting behavioral changes of a driver. The computer program is suitable for performing the steps of the method of the invention.

Abstract: The present invention relates to a method and a system designed to determine an individual's state of attention from an individual's respiratory signal. The method of the invention comprises a first learning step, wherein the characteristics of an individual's normal state are determined by selecting a respiratory signal fragment that is considered to be normal according to a pre-established criterion, and a second analysis phase, wherein the individual's state of attention is determined from parameters extracted from the respiratory signal on the basis of some pre-defined rules and the individual's normal state previously characterised. The method of the invention is implemented in two embodiments. A first embodiment is based on the identification of pre-defined patterns in the respiratory signal and, in the second embodiment, an index indicative of the variability of the respiratory signal is defined.

Abstract: A method for determining at least one physiological parameter of a driver, pilot or transport of defence vehicle or system operator, comprising: a) injecting or inducing current into said individual; b) measuring in said individual an electrical parameter indicating their impedance, comprising: b1) measuring the electrical parameter with at least two pairs of injector-detector electrodes; b2) determining the impedance signal from the electrical parameter measured; b3) from amongst the impedance signals determined, identifying those with a physiological origin; and b4) selecting the pair of electrodes that produce the best quality impedance signal; and c) obtaining said physiological parameter from the best quality impedance signal.

Abstract: The present invention relates to a method and a system designed to determine an individual's state of attention from an individual's respiratory signal. The method of the invention comprises a first learning step, wherein the characteristics of an individual's normal state are determined by selecting a respiratory signal fragment that is considered to be normal according to a pre-established criterion, and a second analysis phase, wherein the individual's state of attention is determined from parameters extracted from the respiratory signal on the basis of some pre-defined rules and the individual's normal state previously characterised. The method of the invention is implemented in two embodiments. A first embodiment is based on the identification of pre-defined patterns in the respiratory signal and, in the second embodiment, an index indicative of the variability of the respiratory signal is defined.