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.

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.

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.

Abstract: The present disclosure provides compounds of Formula (I?), Formula (II), and Formula (III). The compounds described herein may useful in treating and/or preventing protozoan infections in a subject in need thereof, treating and/or preventing trypanosomal infections (e.g., Trypanosoma cruzi (T. cruzi) or Trypanosoma brucei infections) and/or plasmodial infections in a subject in need thereof, treating and/or preventing diseases in a subject in need thereof (e.g., Chagas disease, malaria, and/or sleeping sickness), and may be useful in treating and/or preventing infectious diseases in a subject in need thereof. Also provided in the present disclosure are pharmaceutical compositions, kits, methods, and uses including a compound described herein.

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.

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.

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.

Abstract: The present disclosure provides compounds of Formula (I?), Formula (II), and Formula (III). The compounds described herein may useful in treating and/or preventing protozoan infections in a subject in need thereof, treating and/or preventing trypanosomal infections (e.g., Trypanosoma cruzi (T. cruzi) or Trypanosoma brucei infections) and/or plasmodial infections in a subject in need thereof, treating and/or preventing diseases in a subject in need thereof (e.g., Chagas disease, malaria, and/or sleeping sickness), and may be useful in treating and/or preventing infectious diseases in a subject in need thereof. Also provided in the present disclosure are pharmaceutical compositions, kits, methods, and uses including a compound described herein.

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.

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.

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.

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.

Abstract: The present disclosure provides compounds of Formula (I?), Formula (II), and Formula (III). The compounds described herein may useful in treating and/or preventing protozoan infections in a subject in need thereof, treating and/or preventing trypanosomal infections (e.g., Trypanosoma cruzi (T. cruzi) or Trypanosoma brucei infections) and/or plasmodial infections in a subject in need thereof, treating and/or preventing diseases in a subject in need thereof (e.g., Chagas disease, malaria, and/or sleeping sickness), and may be useful in treating and/or preventing infectious diseases in a subject in need thereof. Also provided in the present disclosure are pharmaceutical compositions, kits, methods, and uses including a compound described herein.

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.