Real-time estimation of speed and gait characteristics using a custom estimator

    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

    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.

    ENROLLMENT WITH AN AUTOMATED ASSISTANT
    4.
    发明申请

    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

    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.

    REAL-TIME ESTIMATION OF SPEED AND GAIT CHARACTERISTICS USING A CUSTOM ESTIMATOR

    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

    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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