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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：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：US11175409B2
公开(公告)日：2021-11-16
申请号：US16729933
申请日：2019-12-30
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：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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