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公开(公告)号:US20200057414A1
公开(公告)日:2020-02-20
申请号:US16540236
申请日:2019-08-14
申请人: INVOXIA
发明人: Éric HUMBERT , Arthur BELHOMME
摘要: 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.
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公开(公告)号:US20220366713A1
公开(公告)日:2022-11-17
申请号:US17560623
申请日:2021-12-23
申请人: INVOXIA
发明人: Eric Humbert , Arthur BELHOMME , Amèlie CAUDRON
IPC分类号: G06V30/226 , G06V30/19
摘要: 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.
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公开(公告)号:US20210345913A1
公开(公告)日:2021-11-11
申请号:US17306507
申请日:2021-05-03
申请人: INVOXIA
发明人: Eric HUMBERT , Amélie CAUDRON , Arthur BELHOMME , Fabrice DEVIGE
摘要: A method for detecting handwriting problem, comprising: acquiring, by a handwriting instrument comprising one motion sensor, motion data while a user is using the handwriting instrument, analyzing the motion data by an artificial intelligence trained to detect a handwriting problem.
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