Abstract: An intelligent dog collar for monitoring physiological parameters of a dog, comprising: a movement sensor unit comprising an accelerometer and/or a gyrometer, wherein the movement sensor unit is configured to detect raw movement signals of the dog collar, a storage module storing a trained neural network, the neural network being configured to determine a physiologic information into raw movement signals detected by the movement sensor unit, a processing unit connected to the movement sensor unit and configured to operate the trained neural network, a memory configured to store the identified physiologic information, an interface for transmitting to a communication device the identified physiologic information.

Abstract: A computer-implemented method for diagnosing mechanical default of a mechanical watch, wherein at least one vibration signal is acquired from the mechanical watch the vibration signal is analyzed by an artificial intelligence trained to detect mechanical default in mechanical watches to determine a diagnosis whether the mechanical watch is working properly or not.

Abstract: Method for monitoring the presence of a point-of-sale display in a shop, at the sight of consumers, the method comprising: acquiring signals from mobile devices by at least one signal sensor, sending one output from the signal sensor to an analyzing device, wherein the analyzing device: calculates an audience rate of the point-of-sale display on the basis of the output, and determines, on the basis of the audience rate, if the point-of-sale display is in the shop at the sight of consumers or not.

Abstract: A method for recognizing online handwriting comprising acquiring, by a handwriting instrument comprising a module comprising at least one motion sensor, motion data on the handwriting of the user when the user is writing a sequence of characters with the handwriting instrument, the handwriting instrument further including a body extending longitudinally between a first end and a second end, the first end having a writing tip which is able to write on a support, analyzing the motion data with a machine learning model trained in a multi-task way, the machine learning model being configured to deliver as an output the sequence of characters which was written by the user with the handwriting instrument.

Abstract: A method for monitoring an animal with an autonomous monitoring device in close proximity to the animal, the monitoring device having a first sensor and a second sensor of higher electric power consumption. The method includes measuring a first parameter with the first sensor, the second sensor being deactivated. An estimated status of the animal is determined based on the first parameter. If the estimated status corresponds to a particular status, the second sensor is activated and measures a second parameter which is used to determine a specified estimated status of the animal.

Abstract: A method for detecting filling parameters of a point-of-sale display, the point-of-sale display being intended to receive predetermined products, said method comprises: emitting a wave in the point-of-sale display; sensing an echo wave generated by reflection and/or backscattering of the emitted wave in the point-of-sale display; transmitting a signal representative of said echo wave to a calculating unit comprising at least one predictive model configured to determine how much the point-of-sale display is filled with products and/or configured to determine a probability that products placed in the point-of-sale display correspond to said predetermined products, the method further comprising: calculating an inference of the at least one predictive model to determine filling parameters of the point-of-sale display.

Abstract: Method for monitoring the presence of a point-of-sale display in a shop, at the sight of consumers, the method comprising: acquiring signals from mobile devices by at least one signal sensor, sending one output from the signal sensor to an analyzing device, wherein the analyzing device: calculates an audience rate of the point-of-sale display on the basis of the output, and determines, on the basis of the audience rate, if the point-of-sale display is in the shop at the sight of consumers or not.

Abstract: A monitoring method to detect a state of a door provided with a locking system. The method comprises the following steps: a measurement step during which a mechanical wave sensor measures a signal corresponding to a mechanical wave propagated in the door; a step of comparison between a reference signal stored in the memory and the mechanical wave signal in order to detect a state of the door. The reference signal is measured by the mechanical wave sensor while the locking system of the door is actuated.

Abstract: A method for monitoring an animal with an autonomous monitoring device in close proximity to the animal, the monitoring device having a first sensor and a second sensor of higher electric power consumption. The method includes measuring a first parameter with the first sensor, the second sensor being deactivated. An estimated status of the animal is determined based on the first parameter. If the estimated status corresponds to a particular status, the second sensor is activated and measures a second parameter which is used to determine a specified estimated status of the animal.

Abstract: A computer-implemented method for diagnosing mechanical default of a mechanical watch, wherein at least one vibration signal is acquired from the mechanical watch the vibration signal is analyzed by an artificial intelligence trained to detect mechanical default in mechanical watches to determine a diagnosis whether the mechanical watch is working properly or not.

Abstract: A method for estimating the acoustic reverberations in an environment comprising the following steps: a measurement step in which one acoustic signal emitted in the environment is captured; a step for determination of acoustic energy decay rate distribution during which an acoustic energy decay rate distribution is determined from the acoustic signal captured in step (a); an estimation step during which a reverberation time and a reverberation level of sound in the environment are estimated by regression from the characteristic function of the acoustic energy decay rate distribution determined in step (b).

Abstract: A monitoring method to detect a state of a door (2) provided with a locking system (2c). The method comprises the following steps: a measurement step during which a mechanical wave sensor (7) measures a signal corresponding to a mechanical wave propagated in the door (2); a step of comparison between a reference signal stored in the memory (8) and the mechanical wave signal in order to detect a state of the door (2). The reference signal is measured by the mechanical wave sensor (7) while the locking system (2c) of the door (2) is actuated.

Abstract: A method for estimating the acoustic reverberations in an environment comprising the following steps: a measurement step in which one acoustic signal emitted in the environment is captured; a step for determination of acoustic energy decay rate distribution during which an acoustic energy decay rate distribution is determined from the acoustic signal captured in step (a); an estimation step during which a reverberation time and a reverberation level of sound in the environment are estimated by regression from the characteristic function of the acoustic energy decay rate distribution determined in step (b).

Abstract: A method for estimating an instantaneous phase of dereverberated acoustic signal, the method comprising the following steps: measurement of an acoustic signal reverberated by propagation in a medium, estimation of a one short-term Fourier transform of the reverberated acoustic signal with a window function, calculation of an instantaneous frequency of dereverberated signal from said short-term Fourier transform and from an influencing factor of the medium, said influencing factor being a function of a reverberation time of said medium, determination of an instantaneous phase of dereverberated signal by integrating the instantaneous frequency of dereverberated signal over time.

Abstract: A method for estimating an instantaneous phase of dereverberated acoustic signal, the method comprising the following steps: measurement of an acoustic signal reverberated by propagation in a medium, estimation of at least a one short-term Fourier transform of the reverberated acoustic signal with at least one a window function, calculation of at least one an instantaneous frequency of dereverberated signal from said short-term Fourier transform and from an influencing factor of the medium, said influencing factor being a function of a reverberation time of said medium, determination of at least one an instantaneous phase of dereverberated signal by integrating the instantaneous frequency of dereverberated signal over time.