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1.
公开(公告)号:US11612343B2
公开(公告)日:2023-03-28
申请号:US16635789
申请日:2017-08-04
Applicant: TOYOTA MOTOR EUROPE , CAMLIN ITALY S.R.L
Inventor: Jonas Ambeck-Madsen , Ichiro Sakata , Luca Ascari , Giovanni Vecchiato , Maria Del Vecchio , Fabio Deon , Pietro Avanzini , Giacomo Rizzolatti
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.
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公开(公告)号:US11379705B2
公开(公告)日:2022-07-05
申请号:US15874293
申请日:2018-01-18
Applicant: TOYOTA MOTOR EUROPE , CAMLIN ITALY S.R.L.
Inventor: Jonas Ambeck-Madsen , Aymeric Rateau , Marcello Mastroleo , Federico Sassi , Roberto Ugolotti , Alessandro Bacchini , Luca Mussi , Luca Ascari
IPC: G06Q20/40 , G06Q10/06 , G06K9/00 , G06K9/62 , G06N3/00 , G06N20/00 , G06N3/04 , G06N3/06 , G10L25/27 , G06F17/12
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.
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3.
公开(公告)号:US20180157957A1
公开(公告)日:2018-06-07
申请号:US15874293
申请日:2018-01-18
Applicant: TOYOTA MOTOR EUROPE , CAMLIN ITALY S.R.L.
Inventor: Jonas AMBECK-MADSEN , Aymeric RATEAU , Marcello MASTROLEO , Federico SASSI , Roberto UGOLOTTI , Alessandro BACCHINI , Luca MUSSI , Luca ASCARI
CPC classification number: G06N3/004 , G06F17/12 , G06K9/6251 , G06N3/04 , G06N3/06 , G06N20/00 , G10L25/27
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.
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公开(公告)号:US11921922B2
公开(公告)日:2024-03-05
申请号:US17604826
申请日:2019-04-19
Applicant: TOYOTA MOTOR EUROPE , CAMLIN ITALY S.R.L.
Inventor: Jonas Ambeck-Madsen , Andrea Bellotti , Luca Ascari , Sergey Antopolskiy , Pietro Avanzini , Alessia Colucciello , Anna Marchenkova , Giovanni Vecchiato
IPC: G06F3/01 , G06F3/0482 , G06F18/24
CPC classification number: G06F3/015 , G06F3/0482 , G06F18/24
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.
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公开(公告)号:US20220261080A1
公开(公告)日:2022-08-18
申请号:US17604826
申请日:2019-04-19
Applicant: TOYOTA MOTOR EUROPE , CAMLIN ITALY S.R.L.
Inventor: Jonas AMBECK-MADSEN , Andrea BELLOTTI , Luca ASCARI , Sergey ANTOPOLSKIY , Pietro AVANZINI , Alessia COLUCCIELLO , Anna MARCHENKOVA , Giovanni VECCHIATO
IPC: G06F3/01 , G06K9/62 , G06F3/0482
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.
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6.
公开(公告)号:US20210093241A1
公开(公告)日:2021-04-01
申请号:US16635077
申请日:2017-08-03
Applicant: TOYOTA MOTOR EUROPE , CAMLIN ITALY S.R.L.
Inventor: Jonas AMBECK-MADSEN , Luca ASCARI , Luca KUBIN , Marcello MASTROLEO , Maria DEL VECCHIO , Roberto UGOLOTTI
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.-
7.
公开(公告)号:US20210077005A1
公开(公告)日:2021-03-18
申请号:US16635789
申请日:2017-08-04
Applicant: TOYOTA MOTOR EUROPE , CAMLIN ITALY S.R.L.
Inventor: Jonas AMBECK-MADSEN , Ichiro SAKATA , Luca ASCARI , Giovanni VECCHIATO , Maria DEL VECCHIO , Fabio DEON , Pietro AVANZINI , Giacomo RIZZOLATTI
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.
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8.
公开(公告)号:US12064246B2
公开(公告)日:2024-08-20
申请号:US16635077
申请日:2017-08-03
Applicant: TOYOTA MOTOR EUROPE , CAMLIN ITALY S.R.L.
Inventor: Jonas Ambeck-Madsen , Luca Ascari , Luca Kubin , Marcello Mastroleo , Maria Del Vecchio , Roberto Ugolotti
CPC classification number: A61B5/18 , A61B5/372 , A61B5/725 , A61B5/7257 , A61B5/7267
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.-
9.
公开(公告)号:US20230414175A1
公开(公告)日:2023-12-28
申请号:US18253368
申请日:2021-11-15
Applicant: CAMLIN ITALY S.r.l. , CONSIGLIO NAZIONALE DELLE RICERCHE
Inventor: Giuseppe TARABELLA , Luca ASCARI , Stefano LAI , Konstantin KOSHMAK , Davide VURRO , Pasquale D’ANGELO , Salvatore IANNOTTA
CPC classification number: A61B5/6833 , A61B5/268 , A61B5/257 , C09D11/04 , C09D11/52 , C07K14/43586 , A61B2562/125 , A61B2560/0412
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).-
公开(公告)号:US20210365115A1
公开(公告)日:2021-11-25
申请号:US17321799
申请日:2021-05-17
Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA , CAMLIN ITALY S.R.L.
Inventor: Jonas AMBECK-MADSEN , Andrea BELLOTTI , Giovanni M. DI LIBERTO , Luca ASCARI , Alessia COLUCCIELLO
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.
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