Abstract: A system for brain-based digital menu selection includes an acquisition device to obtain one or more electrical signals corresponding to an operator's brain response, a stimulation generation device to generate a first stimulus with one or more target options based on the operator triggering the system, a first database including a first classification model, and processor. The processor receives a first response from the acquisition device corresponding to an operator's brain response to the first stimulus with the one or more target options, determines a probability of intended target, when the probability of intended target option is higher than a predefined confidence threshold value, selecting the intended target option and presenting a second stimulus, or executing a final action, according to the selected target option, and storing the first response and the selected target option in the first database with a classification identifier identifying the operator.

Abstract: A process (100) for manufacturing a patch (10) to be applied on a human or animal organ, comprising the steps of: preparing a bio-polymeric ink (200); providing a substrate at least partially made by said bio-polymeric ink (300); printing a circuit on said substrate (400).

Abstract: A method for determining the intention of a user of a vehicle to brake or accelerate, comprising: acquiring (100) a plurality of EEG signals on the user, applying (101) a predetermined spatial filter on the plurality of EEG signals so as to obtain a target EEG component, detecting (102) a spectral pattern in the EEG component corresponding to an intention to brake or detecting a phase pattern in the EEG component corresponding to an intention to accelerate.

Abstract: A system for brain-based digital menu selection includes an acquisition device to obtain one or more electrical signals corresponding to an operator's brain response, a stimulation generation device to generate a first stimulus with one or more target options based on the operator triggering the system, a first database including a first classification model, and processor. The processor receives a first response from the acquisition device corresponding to an operator's brain response to the first stimulus with the one or more target options, determines a probability of intended target, when the probability of intended target option is higher than a predefined confidence threshold value, selecting the intended target option and presenting a second stimulus, or executing a final action, according to the selected target option, and storing the first response and the selected target option in the first database with a classification identifier identifying the operator.

Abstract: A computer-based method for simulating a human-like decision in an environmental context, comprising: capturing environmental data with at least one sensor, realising a computer based method for realising a bi-directional compression of high dimensional data by compressing the data into a lower-dimensional map, if environmental data are captured during a learning phase of a computer-based model, evaluate the map of compressed data by determining the quality of the map by how well it separates data with different properties, the captured data corresponding to known pre-recorded data that have been pre-evaluated, if environmental data are captured after the learning phase, add new point to the compressed data and generate a signal indicating which human-like decision to use to correspond to the state of the operator.

Abstract: A computer-implemented method for obtaining continuous signals from biopotential signals, including: separating, by a computer, confounding components from the biopotential signals by using a statistical correlation analysis algorithm to obtain denoised neural signals; and decoding, by the computer, the continuous signals from the denoised neural signals.

Abstract: This invention relates to an artificial memory system and a method of continuous learning for predicting and anticipating human operator's action as response to ego-intention as well as environmental influences during machine operation. More specifically the invention relates to an architecture with artificial memory for interacting with dynamic behaviors of a tool and an operator, wherein the architecture is a first neural network having structures and mechanisms for abstraction, generalization and learning, the network implementation comprising an artificial hierarchical memory system.

Abstract: A method for determining a driving intention of a user in a vehicle using electroencephalography (EEG) signals, comprising: acquiring (100) a plurality of EEG signals on a user in the vehicle, determining (101, . . . , 104) a plurality of features of the EEG signals, for each feature of the EEG signals, performing (111, . . . , 114?) a respective preliminary soft classification process, so as to obtain a plurality of preliminary soft predictions of driving intention each based on a feature of the EEG signals, performing (120) a soft classification process based on the plurality of preliminary soft predictions so as to obtain the driving intention of the user.

Abstract: A method for determining the intention of a user of a vehicle to brake or accelerate, comprising: acquiring (100) a plurality of EEG signals on the user, applying (101) a predetermined spatial filter on the plurality of EEG signals so as to obtain a target EEG component, detecting (102) a spectral pattern in the EEG component corresponding to an intention to brake or detecting a phase pattern in the EEG component corresponding to an intention to accelerate.

Abstract: A machine for cutting fruit or vegetables into segments, including a blade group (10), at least one of which is arranged with a radial orientation relative to a central axis (X); a presser (20) arranged above the blade group (10) and mobile according to an operating stroke along which it pushes a product (P) through the blades (10); a motor, connected to the presser (20) for activating it along an operating stroke thereof. The presser (20) includes a central body (21), connected to the motor; a peripheral body (22), arranged concentrically to the central body (21) and mobile relative to the central body (21) between a first and a second end position.

Abstract: Method for the video inspection of a pantograph (100) along an overhead contact line, including the steps of: detecting passage of the pantograph (100) in a plurality of monitoring stations (2); in each monitoring station (2), in response to the detection of the passage of the pantograph (100), illuminating a first overhead zone in which a portion of the pantograph (100) passes; in each monitoring station (2), during the step of illuminating the first overhead zone, acquiring images of the first overhead zone by way of at least one pair of stereo video cameras (5a, 5b); calculating the disparity between the images acquired; reconstructing a three-dimensional model of the portion of the pantograph (100).

Abstract: A machine for cutting fruit or vegetables into segments, comprising: a blade group (10), at least one of which is arranged with a radial orientation relative to a central axis (X); a presser (20) arranged above the blade group (10) and mobile according to an operating stroke along which it pushes a product (P) through the blades (10); a motor means, connected to the presser (20) for activating it along an operating stroke thereof. The presser (20) comprises: a central body (21), rigidly connected to the motor means; a peripheral body (22), arranged concentrically to the central body (21) and mobile relative to the central body (21) between a first and a second end position.

Abstract: Method for the video inspection of a pantograph (100) along an overhead contact line, comprising the steps of: detecting passage of the pantograph (100) in a plurality of monitoring stations (2); in each monitoring station (2), in response to the detection of the passage of the pantograph (100), illuminating a first overhead zone in which a portion of the pantograph (100) passes; in each monitoring station (2), during the step of illuminating the first overhead zone, acquiring images of the first overhead zone by means of at least one pair of stereo video cameras (5a, 5b); calculating the disparity between the images acquired; reconstructing a three-dimensional model of the portion of the pantograph (100).

Abstract: A computer-based method for simulating a human-like decision in an environmental context, comprising: capturing environmental data with at least one sensor, realising a computer based method for realising a bi-directional compression of high dimensional data by compressing the data into a lower-dimensional map, if environmental data are captured during a learning phase of a computer-based model, evaluate the map of compressed data by determining the quality of the map by how well it separates data with different properties, the captured data corresponding to known pre-recorded data that have been pre-evaluated, if environmental data are captured after the learning phase, add new point to the compressed data and generate a signal indicating which human-like decision to use to correspond to the state of the operator.

Abstract: A measurement system (1) of the relative position between two structural parts (2a, 2b) of a building, that have separated for example following the formation of a crack, comprising a cylindrical permanent magnet (3) adapted to generate a magnetic field (B) and a sensor (5), the sensor (5) being fixed and the magnet (3) being moveable according to a direction perpendicular to its axis of symmetry (h) so as to vary the direction of the lines of force of the magnetic field B which cross the sensor 5.

Abstract: A method for automatic diagnostics of images related to pantographs, comprising the steps of: capturing an image that shows a pantograph of a locomotive, the image being taken from an aerial view during the travel of the locomotive, the image comprising the gliding area of a plurality of slippers of the pantograph; identifying, by means of a module for classifying the pantograph model, the model of the pantograph within a plurality of pantograph models, on the basis of the image captured; determining, by means of a module for classifying materials, a material of which the slippers are composed among a plurality of materials, on the basis of the pantograph model identified; and determining a value related to the state of wear for each one of the plurality of slippers, on the basis of the type of material determined.

Abstract: Machine for the preparation of pieces of an oval or spherical fruit, such as a melon or watermelon, comprising: a first cutting station (10), predisposed to cut a fruit (100) into round portions (101) along parallel planes; a second cutting station (20), with two or more shaped blades (21a,b,c) predisposed to cut the round portions (101) into prismatic fragments; a sorting device (40), predisposed to detect a diameter of the round portions (101) and to assign each round portion (101) to a shaped blade (21a,b,c), selected on the basis of the diameter of the round portion.

Abstract: A measurement system (1) of the relative position between two structural parts (2a, 2b) of a building, that have separated for example following the formation of a crack, comprising a cylindrical permanent magnet (3) adapted to generate a magnetic field (B) and a sensor (5), the sensor (5) being fixed and the magnet (3) being moveable according to a direction perpendicular to its axis of symmetry (h) so as to vary the direction of the lines of force of the magnetic field B which cross the sensor 5.

Abstract: This invention relates to an artificial memory system and a method of continuous learning for predicting and anticipating human operator's action as response to ego-intention as well as environmental influences during machine operation. More specifically the invention relates to an architecture with artificial memory for interacting with dynamic behaviors of a tool and an operator, wherein the architecture is a first neural network having structures and mechanisms for abstraction, generalization and learning, the network implementation comprising an artificial hierarchical memory system.

Abstract: The present invention relates to a method and a machine for stoning mangoes. The method includes a stage of blocking the mango fruit frontally of a cutting blade (3), which performs a first cut below the stone and a second cut above the stone; the cuts, performed with the same or with different blades, intersects a whole length in a longitudinal direction of the fruit and are performed by thrust-insertion of a cutting blade in the longitudinal direction of the stone. The machine for implementing the method includes one or more work stations (6, 7, 8, 9), each of which includes at least a blocking group (10) which blocks the fruit in a desired position thereof; at least a station includes a blade (3) with a shaped cutting profile which is provided with straight motion and performs the cuts envisaged by the method; sliding means (11) are provided to cause the straight motion of the blade.