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: 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: Parameters characterizing the orientation and the position of each sensor, including at least one accelerometer, are evaluated in the reference frame of each segment, together with the length of each segment, by using predetermined configurations and motions of a structure to which the sensors are attached. This makes it possible to provide a device for capturing the motions of a body with measurements which enables greater reliability of the measurements.

Abstract: A method for estimating a path of a moving element or body using a sensor assembly includes: receiving acceleration values provided by an accelerometer; receiving angular velocity values provided by a gyrometer; processing the values provided for estimating at least one angular position value using the angular velocity values and at least two Cartesian position values defining a path of the moving element or body using acceleration values and the at least one previously estimated angular position value; estimating rotation parameters, by inverting a rotational realignment model of the estimated path subject to prior knowledge of the path; retroactively correcting the at least one estimated angular position value, by applying a rotation on this value using estimated rotation parameters, so as to provide at least one corrected angular position value.

Abstract: A method determining values of parameters representing a movement of an entity represented by an articulated chain, by a sensor assembly including at least one sensor for a parameter representing an orientation of a first segment of the articulated chain, the method including: reception of an orientation value measured and supplied by the orientation sensor; estimation of a value of at least one first parameter representing a movement of the first segment by processing the orientation value; and, based on a predetermined movement model of the articulated chain, as a time change model, including at least one relationship of time dependency between the at least one first parameter and at least one other parameter representing a movement of another segment of the articulated chain: estimation of a value of the at least one other parameter by application of the time change model to the estimated value of the at least one first parameter.

Abstract: A method for estimating a roughness R of a surface is provided, including: measuring, during relative movement of at least one force sensor in a direction roughly parallel to the surface, at least one force Fortho perceived by the at least one force sensor in a direction which is roughly orthogonal to said direction of movement, and parallel to said surface; calculating at least one statistical parameter P representative of variations of the value of the measured at least one force Fortho; and estimating the roughness R by calculating R=f(P), where f(P) is a function of the at least one statistical parameter P having at least some coefficients with values that are dependent on characteristics of the at least one force sensor used, and on a force with which the at least one force sensor is applied on said surface during the relative movement.

Abstract: A system for counting a basic displacement of a person includes a housing (BT) and a fixing device (EF) for securely mounting the housing (BT) on the person. Within the housing are a magnetometer for measuring the direction of the terrestrial magnetic field in the reference frame of the housing, a device for determining a quantity representative of the inclination of the measured magnetic field with respect to the vertical, and a device for detecting a change of orientation of an orthogonal projection of the direction of the terrestrial magnetic field in a horizontal planar reference frame having axes of constant directions and tied in translation to the person, on the basis of the measured direction of the magnetic field and of the quantity representative of the inclination of the magnetic field with respect to the vertical.

Abstract: A tactile surface texture method including: measuring at least one force perceived by a force sensor during a relative movement of the sensor with respect to a surface to be characterized; calculating one or more time and/or frequency parameters of an output signal transmitted by the sensor representative of the previously measured force; determining a value of a tactile descriptor of multiple tactile descriptors through application of a continuous transfer function to the previously calculated parameters, the transfer function being previously determined by regression from a learning database associating, for each descriptor, plural values of the tactile descriptor with plural values of one or more time and/or frequency parameters calculated from measurements made by the force sensor on multiple test surfaces representative of values of the tactile descriptor in question.

Abstract: Device for determining a characteristic of a trajectory formed of successive positions of a triaxial accelerometer (3A) rigidly tied to a mobile element (EM), between a first instant of immobility (t0) and a second instant of immobility (tn) of the triaxial accelerometer (3A), subsequent to said first instant of immobility (t0), said device comprising, furthermore, a triaxial additional sensor for measuring a vector of a substantially constant vector field between said first and second instants of immobility (t0,tn), in a fixed global reference frame (GE) tied to the terrestrial reference frame, said additional sensor being rigidly tied to said mobile element (EM) and fixed in the reference frame of the accelerometer (3A), and control means (CMD).

Abstract: A classification method including first classifying an event of any kind by first rules, and then second classifying events, not identified by the first classification, by a learning base reinforced with all the events identified by the first classification. The method is adaptive if the second classification rules are amended according to new examples that were able to be determined by the first rules.

Abstract: The invention relates to an autonomous system for determining items of information representative of the movement of an articulated chain (CA—1, CA—2, CA—3) comprising at least two solid elements (ES1—1, ES2—1, ES1—2, ES2—2, ES3—2, ES1—3, ES2—3, ES3—3, ES4—3) and at least one articulation (ART1—1, ART1—2, ART2—2, ART1—3, ART2—3, ART3—3) connecting said two elements. The system comprises at least two devices (DISP1—1, DISP2—1, DISP1—2, DISP2—2, DISP3—2, DISP1—3, DISP2—3, DISP3—3, DISP4—3) for measuring inter-device distances, mounted fixedly on two distinct elements of said articulated chain and suitable for transmitting the measurements made.

Abstract: Parameters characterizing the orientation and the position of each sensor, including at least one accelerometer, are evaluated in the reference frame of each segment, together with the length of each segment, by using predetermined configurations and motions of a structure to which the sensors are attached. This makes it possible to provide a device for capturing the motions of a body with measurements which enables greater reliability of the measurements.

Abstract: A method for estimating a path of a moving element or body using a sensor assembly includes: receiving acceleration values provided by an accelerometer; receiving angular velocity values provided by a gyrometer; processing the values provided for estimating at least one angular position value using the angular velocity values and at least two Cartesian position values defining a path of the moving element or body using acceleration values and the at least one previously estimated angular position value; estimating rotation parameters, by inverting a rotational realignment model of the estimated path subject to prior knowledge of the path; retroactively correcting the at least one estimated angular position value, by applying a rotation on this value using estimated rotation parameters, so as to provide at least one corrected angular position value.

Abstract: A method determining values of parameters representing a movement of an entity represented by an articulated chain, by a sensor assembly including at least one sensor for a parameter representing an orientation of a first segment of the articulated chain, the method including: reception of an orientation value measured and supplied by the orientation sensor; estimation of a value of at least one first parameter representing a movement of the first segment by processing the orientation value; and, based on a predetermined movement model of the articulated chain, as a time change model, including at least one relationship of time dependency between the at least one first parameter and at least one other parameter representing a movement of another segment of the articulated chain: estimation of a value of the at least one other parameter by application of the time change model to the estimated value of the at least one first parameter.

Abstract: A method for estimating a roughness R of a surface, including the following steps: relative movement of a force sensor against the surface and in a direction of movement roughly parallel to the surface, measurement, during the movement, of a force Fortho perceived by the force sensor in a direction which is roughly orthogonal to the direction of movement and parallel to the surface, calculation of a statistical parameter P representative of the variations of the value of measured force Fortho, calculation of roughness R such that: R=ƒ(P), where ƒ( ) is a known function of which at least some of the coefficients have values which are dependent on the characteristics of the force sensor used, and on a force with which the force sensor is applied on said surface during the movement.

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.

Abstract: A system for counting a basic displacement of a person includes a housing (BT) and a fixing device (EF) for securely mounting the housing (BT) on the person. Within the housing are a magnetometer for measuring the direction of the terrestrial magnetic field in the reference frame of the housing, a device for determining a quantity representative of the inclination of the measured magnetic field with respect to the vertical, and a device for detecting a change of orientation of an orthogonal projection of the direction of the terrestrial magnetic field in a horizontal planar reference frame having axes of constant directions and tied in translation to the person, on the basis of the measured direction of the magnetic field and of the quantity representative of the inclination of the magnetic field with respect to the vertical.

Abstract: This method uses two sets of sensors to estimate certain characteristics of the movement of a device or a person or states, especially postures, they adopt. A first, abundant, set of sensors (1) is removed after a learning phase where it records with certainty the states obtained by interpreting first decisional rules. The measurements of a second set of sensors (2), much more restricted than the first, are correlated to the states reached during the learning period by second decisional rules automatically obtained by supplying a classifier. They are then interpreted to determine the new states reached by the wearer just by means of the second sensors. The results are good in spite of the low number of second sensors, thanks to the accuracy of the second decisional rules.