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公开(公告)号：US20190034604A1
公开(公告)日：2019-01-31
申请号：US15659555
申请日：2017-07-25
Applicant: Samsung Electronics Co., Ltd.
Abstract: A device and a method for authenticating a user. The method includes selecting the phrase key from a plurality of phrase keys. The method also includes receiving, from a target service a file that includes parsed data based on speech recognition processing of a phrase spoken by a user. Additionally, the method includes sending a notification the target service, upon a determination that the parsed data matches a phrase key. The method further includes receiving a set of user credentials from the target service and sending the set of user credentials to the virtual assistant device.
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公开(公告)号：US11263300B2
公开(公告)日：2022-03-01
申请号：US15659555
申请日：2017-07-25
Applicant: Samsung Electronics Co., Ltd.
Abstract: A device and a method for authenticating a user. The method includes selecting the phrase key from a plurality of phrase keys. The method also includes receiving, from a target service a file that includes parsed data based on speech recognition processing of a phrase spoken by a user. Additionally, the method includes sending a notification the target service, upon a determination that the parsed data matches a phrase key. The method further includes receiving a set of user credentials from the target service and sending the set of user credentials to the virtual assistant device.
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公开(公告)号：US11146933B2
公开(公告)日：2021-10-12
申请号：US15271204
申请日：2016-09-20
Applicant: Samsung Electronics Co., Ltd
Abstract: A cloud computing server includes a memory, a processor, and a communication unit. The memory is configured to store a plurality of activities, a plurality of actions, and an association model that associates the plurality of activities with the plurality of actions. The processor is configured to determine an activity from the plurality of activities by determining a similarity between an upcoming activity and one of the plurality of activities and identify an action based on the activity and the association model. The communication unit is configured to transmit the identified action to a user equipment (UE).
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公开(公告)号：US11094317B2
公开(公告)日：2021-08-17
申请号：US16404012
申请日：2019-05-06
Applicant: Samsung Electronics Co., Ltd.
Inventor： Yilin Shen , Xiangyu Zeng , Yu Wang , Hongxia Jin
IPC: G10L15/22 , G10L15/18 , G10L15/06 , G10L15/183 , G10L15/16
Abstract: An electronic device for training a machine learning model includes at least one memory and at least one processor coupled to the at least one memory. The at least one processor is configured to train a classification layer of the model. To train the classification layer, the at least one processor is configured to receive, by the classification layer, one or more language contexts from an utterance encoder layer and to classify, by the classification layer, at least one portion of an utterance into an information type among a plurality of information types. The at least one processor may be further configured to jointly train a slot filling layer and an intent detection layer of the model.
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公开(公告)号：US20200043480A1
公开(公告)日：2020-02-06
申请号：US16404012
申请日：2019-05-06
Applicant: Samsung Electronics Co., Ltd.
Inventor： Yilin Shen , Xiangyu Zeng , Yu Wang , Hongxia Jin
IPC: G10L15/18 , G10L15/06 , G10L15/183 , G10L15/22
Abstract: An electronic device for training a machine learning model includes at least one memory and at least one processor coupled to the at least one memory. The at least one processor is configured to train a classification layer of the model. To train the classification layer, the at least one processor is configured to receive, by the classification layer, one or more language contexts from an utterance encoder layer and to classify, by the classification layer, at least one portion of an utterance into an information type among a plurality of information types. The at least one processor may be further configured to jointly train a slot filling layer and an intent detection layer of the model.
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Patent Agency Ranking
公开(公告)号：US10129767B2
公开(公告)日：2018-11-13
申请号：US15236301
申请日：2016-08-12
Applicant: Samsung Electronics Co., Ltd
Abstract: A method for collecting diagnostic data in a wireless communication network. The method comprises storing previously measured results of the diagnostic data for improving quality of the wireless communication network, determining a spatiotemporal correlation model based on the previously measured results of the diagnostic data in accordance with a data collection strategy, and collecting new diagnostic data based on the determined spatiotemporal correlation model and the data collection strategy.
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17.发明授权公开(公告)号：US10040372B2
公开(公告)日：2018-08-07
申请号：US15051556
申请日：2016-02-23
Applicant: Samsung Electronics Co., Ltd
IPC: B60N2/00
CPC classification number: B60N2/002 , B60R16/037 , B60R22/48 , H04L67/12 , H04L67/18 , H04L67/306
Abstract: A method, system, and vehicle for locating an occupant within the vehicle. The method includes receiving motion data of a seatbelt for a seat in the vehicle and receiving motion data of a wearable device of the occupant. The method also includes comparing the seatbelt motion data with the wearable device motion data from a same period of time and identifying that the occupant is located at the seat in the vehicle based on a result of the comparison. The method may also include associating the occupant with the vehicle based on location information of the vehicle and location information of the wearable device of the occupant. Additionally, the method may include identifying personalization options for the occupant at the seat based on a user profile of the occupant in response to identifying that the occupant is located at the seat.
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公开(公告)号：US20180074606A1
公开(公告)日：2018-03-15
申请号：US15267126
申请日：2016-09-15
Applicant: Samsung Electronics Co., Ltd
IPC: G06F3/0354 , G06F3/03
CPC classification number: G06F3/03545 , G06F3/0304 , G06F3/0321 , G06F3/03542 , G06F3/0425 , G06F3/04883 , G06K9/00409 , G06K9/222
Abstract: A digital handwriting system that includes an electronic device and a method of using the same. The present disclosure teaches a method that includes identifying content stored on the electronic device to be projected onto a surface; identifying occurrence of a touch event of an accessory; capturing an image of the touch event to determine initial position data indicating an initial position of the accessory relative to the projected content; receiving movement tracking data indicating movement of the accessory; and updating the content using the initial position data and the movement tracking data. Various embodiments may further include using an inertial movement unit (IMU) disposed in an electronic accessory for determining movement tracking data of the accessory. Moreover, updating the content may include updating the projected content in real-time.
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公开(公告)号：US12127726B2
公开(公告)日：2024-10-29
申请号：US17231958
申请日：2021-04-15
Applicant: Samsung Electronics Co., Ltd.
Inventor： Yu Wang , Yilin Shen , Hongxia Jin
IPC: G06V10/70 , A47L9/28 , A47L11/40 , G06F18/214 , G06V20/10
CPC classification number: A47L9/2805 , A47L11/40 , G06F18/214 , G06V10/768 , G06V20/10 , A47L2201/06
Abstract: A method includes obtaining, using at least one processor of an electronic device, an image-query understanding model. The method also includes obtaining, using the at least one processor, an image and a user query associated with the image, where the image includes a target image area and the user query includes a target phrase. The method further includes retraining, using the at least one processor, the image-query understanding model using a correlation between the target image area and the target phrase to obtain a retrained image-query understanding model.
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公开(公告)号：US11681923B2
公开(公告)日：2023-06-20
申请号：US16728987
申请日：2019-12-27
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Yu Wang , Yilin Shen , Yue Deng , Hongxia Jin
IPC: G06N3/084 , G06N20/20 , G06F18/241 , G06N3/045 , G06V10/764 , G06V10/778 , G06V10/94
CPC classification number: G06N3/084 , G06F18/241 , G06N3/045 , G06N20/20 , G06V10/764 , G06V10/7784 , G06V10/94
Abstract: Intent determination based on one or more multi-model structures can include generating an output from each of a plurality of domain-specific models in response to a received input. The domain-specific models can comprise simultaneously trained machine learning models that are trained using a corresponding local loss metric for each domain-specific model and a global loss metric for the plurality of domain-specific models. The presence or absence of an intent corresponding to one or more domain-specific models can be determined by classifying the output of each domain-specific model.
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