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公开(公告)号：US20220222954A1
公开(公告)日：2022-07-14
申请号：US17440958
申请日：2020-03-10
Applicant: INSTITUT MINES TELECOM
Inventor： Nesma HOUMANI , Sonia GARCIA-SALICETTI
IPC: G06V30/32 , G06V30/244 , G06V10/82 , G06V10/84
Abstract: A method for identifying or for verifying the identity of a user, using a plurality, of previously acquired reference signature vectors, a handwritten signature of the user and at least one additional item of handwritten information linked to the user that arc affixed beforehand to an in particular mobile digital sensor, in which method: a) said handwritten signature of the user and said at least one additional item of information are fused in order to generate at least one test signature vector, b) said at least one test signature vector is compared with a plurality of said reference signature vectors, and c) a likelihood score is generated on the basis at least of this comparison in order to identify or to verify the identity of the user.
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公开(公告)号：US20230248295A1
公开(公告)日：2023-08-10
申请号：US18008775
申请日：2021-06-03
Applicant: INSTITUT MINES TELECOM
Inventor： Nesma HOUMANI , Majd ABAZID
CPC classification number: A61B5/374 , A61B5/4088 , A61B5/7267
Abstract: A method for selecting features for the detection of a given brain condition, the method using a feature selector able to discriminate between at least two brain conditions, and using a plurality of electroencephalogram signals, relative to several brain electrodes and filtered on at least one frequency, the method comprising the following steps:
e) for each signal, computing at least one value quantifying brain activity for each brain electrode;
f) for each signal, performing a thresholding of said computed quantifying values according to at least one threshold percentage, thus forming at least one group of thresholded values corresponding to each signal;
g) using said feature selector to rank said thresholded values; and
h) based on this ranking, selecting at least one feature vector comprising at least one electrode, and one frequency and/or one threshold percentage, and corresponding to the best ranked thresholded values for the detection of said given brain condition.-
公开(公告)号：US20230047530A1
公开(公告)日：2023-02-16
申请号：US17792994
申请日：2021-01-13
Applicant: INSTITUT MINES TELECOM
Inventor： Nesma HOUMANI
IPC: G16H50/30
Abstract: Method for acquiring and analysing the fine motor skills of an individual. Presenting a course on a medium and inviting the individual to make a free movement with at least one finger and/or one accessory on the medium, this movement being linked to the course. Recording a period of time taken to complete at least part of the course. Recording successive positions of the finger and/or the accessory during the completion of at least a part of the course. Analysing the recordings in order to generate at least one random variable describing successive positions according to a predefined statistical model. Generating a score representative of the fine motor skills, based on at least the period of time taken to complete at least part of the course and a statistical measurement of the random variable, characteristic of a quantity of information, disorder or chaos in the recording of the successive positions.
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公开(公告)号：US20220075987A1
公开(公告)日：2022-03-10
申请号：US17422198
申请日：2019-01-11
Applicant: INSTITUT MINES TELECOM
Inventor： Nesma HOUMANI , Sonia GARCIA-SALICETTI
Abstract: A method for generating at least one information about the production of a handwritten, hand-affixed or printed trace on a surface. The method includes extracting several features describing the trace from at least one three-dimensional image of the trace, acquired by an imagery system. The method includes inputting the extracted features in a trained module to output the at least one information. The module has been trained beforehand with a plurality of previously-acquired three-dimensional images of traces and corresponding information related to the production of these traces.
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