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公开(公告)号：US20230165538A1
公开(公告)日：2023-06-01
申请号：US17840419
申请日：2022-06-14
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Ebrahim Nematihosseinabadi , Shibo Zhang , Tousif Ahmed , Md Mahbubur Rahman , Anh Minh Dinh , Nathan Robert Folkman , Sean Bornheimer , Jun Gao , Jilong Kuang
IPC: A61B5/00 , G10L25/66 , G10L25/84 , G10L21/0208 , G10L21/028 , A61B5/08 , G16H40/63 , G16H50/20
CPC classification number: A61B5/7282 , G10L25/66 , G10L25/84 , G10L21/0208 , G10L21/028 , A61B5/7275 , A61B5/7267 , A61B5/4803 , A61B5/0823 , G16H40/63 , G16H50/20 , G10L2025/783
Abstract: Detecting and identifying a predetermined health event can include detecting a potential occurrence of the predetermined health event for a user by processing in real-time motion signals corresponding to motion of the user. A likelihood that the potential occurrence is an actual occurrence of the predetermined health event can be determined based on template matching of the motion signals. In response to determining that the likelihood exceeds a predetermined threshold, audio signals coinciding in time with the motion of the user can be processed using one or more layers of a multilayered audio event classifier.
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公开(公告)号：USD923610S1
公开(公告)日：2021-06-29
申请号：US29735040
申请日：2020-05-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Designer： Rhys Bonahoom , Sean Bornheimer , Seounghyun Son , Rob Shook
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公开(公告)号：USD887351S1
公开(公告)日：2020-06-16
申请号：US29679083
申请日：2019-02-01
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Designer： Rhys Bonahoom , Sean Bornheimer , Seounghyun Son , Rob Shook
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公开(公告)号：USD909370S1
公开(公告)日：2021-02-02
申请号：US29679099
申请日：2019-02-01
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Designer： Jeff Jones , Sean Bornheimer , Seounghyun Son , Rob Shook , Jinseok Hwang , Rhys Bonahoom
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Patent Agency Ranking
公开(公告)号：USD884695S1
公开(公告)日：2020-05-19
申请号：US29679103
申请日：2019-02-01
Applicant: Samsung Electronics Co., Ltd.
Designer： Jeff Jones , Jaehyung Hong , Sean Bornheimer , Seounghyun Son , Kwangha Choi , Yongseok Bang , Eunyoung Kim , Jeongwon Ji , Yoonhee Cho , Sunyoung Lee
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公开(公告)号：US20230343458A1
公开(公告)日：2023-10-26
申请号：US17728741
申请日：2022-04-25
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Tousif Ahmed , Md Mahbubur Rahman , Sean Bornheimer , Nathan Robert Folkman , Anh Minh Dinh , Ebrahim Nematihosseinabadi , Jilong Kuang , Jun Gao
CPC classification number: G16H50/30 , G16H80/00 , A61B5/0022 , H04W4/023 , A61B5/7282 , G16H10/60
Abstract: Detecting an adverse health event and responding to an emergency event can include updating a current context profile of a user based on signals generated by one or more sensors of a device, the signals generated in response to one or more physically measurable phenomena associated with the user. A context-aware baseline profile having a same context as the current context profile can be selected, the context-aware baseline profile selected from a plurality of context-aware baseline profiles having different contexts. Features of the current context profile can be compared with corresponding features of the context-aware baseline profile of the user having the same context as the current context profile. A remedial action can be initiated in response to recognizing, based on the comparing, an occurrence of a possible adverse health event affecting the user.
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公开(公告)号：US20220054039A1
公开(公告)日：2022-02-24
申请号：US17406086
申请日：2021-08-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Md Mahbubur Rahman , Bashima Islam , Tousif Ahmed , Nathan Robert Folkman , Anh Minh Dinh , Sean Bornheimer , Ebrahim Nematihosseinabadi , Jilong Kuang , Jun Gao
Abstract: Passively monitoring a user's breathing with a device can include identifying breathing modes of the user's breathing and responsive to detecting a trigger mode based on the identifying, generating an instruction adapted to the trigger mode. The instruction can be conveyed to the user via the device. The monitoring can include determining phases of the user's breathing with the device. Determining the phases can include receiving acoustic signals generated by an acoustic sensor in response to a user's breathing and generating acoustic data comprising features extracted from the acoustic signals. Phases of the user's breathing can be determined by classifying the acoustic data using a machine learning model trained based on signal processing of motion signals generated by a motion sensor in response to human breathing motions. Though trained using signal processing of motion signals, the machine learning model is trained to classify acoustic data.
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公开(公告)号：USD903663S1
公开(公告)日：2020-12-01
申请号：US29679082
申请日：2019-02-01
Applicant: Samsung Electronics Co., Ltd.
Designer： Jeff Jones , Jaehyung Hong , Sean Bornheimer , Seounghyun Son , Kwangha Choi , Yongseok Bang , Eunyoung Kim , Jeongwon Ji , Yoonhee Cho , Sunyoung Lee
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公开(公告)号：USD892086S1
公开(公告)日：2020-08-04
申请号：US29679088
申请日：2019-02-01
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Designer： Rhys Bonahoom , Sean Bornheimer , Seounghyun Son , Rob Shook
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