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公开(公告)号:US12056956B2
公开(公告)日:2024-08-06
申请号:US18204785
申请日:2023-06-01
Applicant: GOOGLE LLC
Inventor: Diego Melendo Casado , Tuan Nguyen , Jaclyn Konzelmann , Gustavo Moura , Tanya Kraljic
CPC classification number: G06V40/50 , G06V40/161 , G06V40/70 , G10L17/00 , G10L17/04
Abstract: Techniques are described herein for dialog-based enrollment of individual users for single- and/or multi-modal recognition by an automated assistant, as well as determining how to respond to a particular user's request based on the particular user being enrolled and/or recognized. Rather than requiring operation of a graphical user interface for individual enrollment, dialog-based enrollment enables users to enroll themselves (or others) by way of a human-to-computer dialog with the automated assistant.
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公开(公告)号:US10564288B2
公开(公告)日:2020-02-18
申请号:US15370240
申请日:2016-12-06
Applicant: GOOGLE LLC
Inventor: Frank Van Diggelen , Ke Xiao , Gustavo Moura , Wyatt Riley
Abstract: In a method for accurately estimating gait characteristics of a user, first parameters indicative of user movement, including a GNSS-derived speed and step count, are monitored. Values of the first parameters are processed to determine values of second parameters indicative of movement of the user. The processing includes applying, as inputs to an estimator (e.g., Kalman filter) having the second parameters as estimator states, values of at least one of the first parameters and/or values of at least one parameter derived from one or more of the first parameters. At least two of the second parameters are collectively indicative of a mapping between step frequency and step length of the user. A graphical user interface may display values of at least one of the second parameters, and/or at least one parameter derived from one or more of the second parameters.
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公开(公告)号:US11704940B2
公开(公告)日:2023-07-18
申请号:US17580334
申请日:2022-01-20
Applicant: Google LLC
Inventor: Diego Melendo Casado , Tuan Nguyen , Jaclyn Konzelmann , Gustavo Moura , Tanya Kraljic
CPC classification number: G06V40/50 , G06V40/161 , G06V40/70 , G10L17/00 , G10L17/04
Abstract: Techniques are described herein for dialog-based enrollment of individual users for single- and/or multi-modal recognition by an automated assistant, as well as determining how to respond to a particular user's request based on the particular user being enrolled and/or recognized. Rather than requiring operation of a graphical user interface for individual enrollment, dialog-based enrollment enables users to enroll themselves (or others) by way of a human-to-computer dialog with the automated assistant.
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公开(公告)号:US20200175292A1
公开(公告)日:2020-06-04
申请号:US16787581
申请日:2020-02-11
Applicant: Google LLC
Inventor: Diego Melendo Casado , Tuan Nguyen , Jaclyn Konzelmann , Gustavo Moura , Tanya Kraljic
Abstract: Techniques are described herein for dialog-based enrollment of individual users for single- and/or multi-modal recognition by an automated assistant, as well as determining how to respond to a particular user's request based on the particular user being enrolled and/or recognized. Rather than requiring operation of a graphical user interface for individual enrollment, dialog-based enrollment enables users to enroll themselves (or others) by way of a human-to-computer dialog with the automated assistant.
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公开(公告)号:US11874381B2
公开(公告)日:2024-01-16
申请号:US17504855
申请日:2021-10-19
Applicant: GOOGLE LLC
Inventor: Frank Van Diggelen , Ke Xiao , Gustavo Moura , Wyatt Riley
Abstract: In a method for accurately estimating gait characteristics of a user, first parameters indicative of user movement, including a GNSS-derived speed and step count, are monitored. Values of the first parameters are processed to determine values of second parameters indicative of movement of the user. The processing includes using values of at least one monitored parameter to generate one or more inputs to an estimator (e.g., Kalman filter) having the second parameters as estimator states. At least two of the second parameters are collectively indicative of a mapping between step frequency and step length of the user. A graphical user interface may display values of at least one of the second parameters, and/or at least one parameter derived from one or more of the second parameters.
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公开(公告)号:US20230316814A1
公开(公告)日:2023-10-05
申请号:US18204785
申请日:2023-06-01
Applicant: GOOGLE LLC
Inventor: Diego Melendo Casado , Tuan Nguyen , Jaclyn Konzelmann , Gustavo Moura , Tanya Kraljic
CPC classification number: G06V40/50 , G10L17/04 , G10L17/00 , G06V40/70 , G06V40/161
Abstract: Techniques are described herein for dialog-based enrollment of individual users for single- and/or multi-modal recognition by an automated assistant, as well as determining how to respond to a particular user's request based on the particular user being enrolled and/or recognized. Rather than requiring operation of a graphical user interface for individual enrollment, dialog-based enrollment enables users to enroll themselves (or others) by way of a human-to-computer dialog with the automated assistant.
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公开(公告)号:US20220148339A1
公开(公告)日:2022-05-12
申请号:US17580334
申请日:2022-01-20
Applicant: Google LLC
Inventor: Diego Melendo Casado , Tuan Nguyen , Jaclyn Konzelmann , Gustavo Moura , Tanya Kraljic
Abstract: Techniques are described herein for dialog-based enrollment of individual users for single- and/or multi-modal recognition by an automated assistant, as well as determining how to respond to a particular user's request based on the particular user being enrolled and/or recognized. Rather than requiring operation of a graphical user interface for individual enrollment, dialog-based enrollment enables users to enroll themselves (or others) by way of a human-to-computer dialog with the automated assistant.
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公开(公告)号:US20240346851A1
公开(公告)日:2024-10-17
申请号:US18750561
申请日:2024-06-21
Applicant: GOOGLE LLC
Inventor: Diego Melendo Casado , Tuan Nguyen , Jaclyn Konzelmann , Gustavo Moura , Tanya Kraljic
CPC classification number: G06V40/50 , G06V40/161 , G06V40/70 , G10L17/00 , G10L17/04
Abstract: Techniques are described herein for dialog-based enrollment of individual users for single-and/or multi-modal recognition by an automated assistant, as well as determining how to respond to a particular user's request based on the particular user being enrolled and/or recognized. Rather than requiring operation of a graphical user interface for individual enrollment, dialog-based enrollment enables users to enroll themselves (or others) by way of a human-to-computer dialog with the automated assistant.
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公开(公告)号:US20220035042A1
公开(公告)日:2022-02-03
申请号:US17504855
申请日:2021-10-19
Applicant: GOOGLE LLC
Inventor: Frank Van Diggelen , Ke Xiao , Gustavo Moura , Wyatt Riley
Abstract: In a method for accurately estimating gait characteristics of a user, first parameters indicative of user movement, including a GNSS-derived speed and step count, are monitored. Values of the first parameters are processed to determine values of second parameters indicative of movement of the user. The processing includes using values of at least one monitored parameter to generate one or more inputs to an estimator (e.g., Kalman filter) having the second parameters as estimator states. At least two of the second parameters are collectively indicative of a mapping between step frequency and step length of the user. A graphical user interface may display values of at least one of the second parameters, and/or at least one parameter derived from one or more of the second parameters.
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公开(公告)号:US11238294B2
公开(公告)日:2022-02-01
申请号:US16787581
申请日:2020-02-11
Applicant: Google LLC
Inventor: Diego Melendo Casado , Tuan Nguyen , Jaclyn Konzelmann , Gustavo Moura , Tanya Kraljic
Abstract: Techniques are described herein for dialog-based enrollment of individual users for single- and/or multi-modal recognition by an automated assistant, as well as determining how to respond to a particular user's request based on the particular user being enrolled and/or recognized. Rather than requiring operation of a graphical user interface for individual enrollment, dialog-based enrollment enables users to enroll themselves (or others) by way of a human-to-computer dialog with the automated assistant.
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