Abstract: A method for determining a membership function, the membership functions allowing a stress level of a user to be determined on the basis of a physiological parameter measured on the user, the membership function varying, depending on the physiological parameter, between: a first value, representative of a rest state; and a second value, representative of a stressed state; the membership function taking into account a distribution function, which is defined beforehand, the distribution function being a continuous and monotonic function, the distribution function being applied to a normalized parameter established on the basis of a measured physiological parameter, the method comprising determining a normalization function, and optionally a standardization function, the normalization function and the optional standardization function being determined on the basis of physiological parameters measured on a plurality of test individuals, in various calibration periods.

Abstract: The present disclosure concerns a method of estimation, by means of an electronic processing device (104), of the quality of a heart rate signal delivered by a heart rate sensor during an acquisition phase of duration W, said signal including a sequence of N samples IBIi each having a value representative of a duration between two successive heartbeats detected by the sensor, N being an integer greater than or equal to 2 and i being an integer in the range from 1 to N, the method including a step of calculating, by means of the electronic processing device, of a default indicator L representative of the difference between duration W of the acquisition phase and the sum of the values of the samples IBIi of the signal.

Abstract: The invention is a method for determining a stress level of an individual, depending on a physiological parameter of the individual, the method comprising: a) measuring a physiological-parameter value in various calibration periods during a calibration time period; b) defining a range of variation in the physiological-parameter values measured in the various calibration periods; c) depending on the range of variation, establishing a membership function defining a stress level of the individual depending on the physiological-parameter value, the stress level defined by the membership function being able to vary between: a rest level, corresponding to a rest state of the individual; a stressed level, corresponding to a stressed state of the individual; and at least one intermediate level, comprised between the rest level and the stressed level; d) following c), measuring a physiological-parameter value during a measurement period, and determining the stress level of the individual by applying the membersh

Abstract: Systems and methods for recognizing the gestures of an entity, notably a human being, and, optionally, for controlling an electrical or electronic system or apparatus, are discussed. The system uses sensors that measure signals, preferentially representative of inertial data about the movements of said entity, and implements a process for enriching a dictionary of said gestures to be recognized and a recognition algorithm, for recognition among the classes of gestures in said dictionary. The algorithm implemented is preferably of the dynamic time warping type. The system carries out preprocessing operations, such as the elimination of signals captured during periods of inactivity of the entity, subsampling of the signals, and normalization of the measurements by reduction, and preferentially uses, to classify the gestures, specific distance calculation modes and modes for merging or voting between the various measurements by the sensors.