Dp Technologies, Inc.

Huawei Technologies Co., Limited

Fullpower Technologies, Inc.

Brian Y Lee

Philippe Richard Kahn

Arthur Kinsolving

Mark Andrew Christensen

David Vogel

Paul Andrew Mietz Egli

An electronic device monitors accelerations using a motion sensor. The electronic device determines a current motion state based on the accelerations. The electronic device identifies a plurality of applications that subscribe to a motion state identification service and notifies a subset of the applications of the current motion state, the subset meeting notification criteria associated with the current motion state.

Program setting adjustments based on activity identification

Program setting adjustment based on motion data

A method for monitoring human activity using an inertial sensor includes monitoring accelerations, identifying a current user activity from a plurality of user activities based on the accelerations, and counting periodic human motions appropriate to the current user activity.

Human activity monitoring device with activity identification

An mobile device to monitor human activity using multiple sensors comprising a processing unit to provide a first estimation user activity data based on data from a first sensor, the first estimation having a first accuracy estimation, and to provide a second estimation of user activity data based on data from a second sensor, the second estimation having a second accuracy estimation, and the processor to calculate the user activity statistic based on the first estimation and the second estimation, wherein the calculated user activity statistic is a result of a weighted combination of the first estimation and the second estimation.

Sensor fusion for activity identification

An electronic device monitors accelerations using an inertial sensor. The electronic device identifies a current motion state based on the accelerations. The electronic device determines an application that subscribes to a motion state identification service and notifies the application of the current motion state.

A method or apparatus for monitoring human activity using an inertial sensor is described. The method includes monitoring accelerations, and identifying a current user activity from a plurality of user activities based on the accelerations. In one embodiment, each of the plurality of user activities is associated with one of a plurality of types of periodic human motions that are detectable by the portable electronic device, and wherein the identification of the current user activity is made based on detecting two or more instances of the periodic human motion associated with the user activity. The method further includes counting periodic human motions appropriate to the current user activity.

A method for monitoring human activity using an inertial sensor includes monitoring accelerations from an inertial sensor integrated into a garment. The accelerations are processed to determine one or more acceleration statistics, and transmit the acceleration statistics.

Human activity monitoring device

A mobile device monitors accelerations using one or more inertial sensors. A user activity is identified based on the accelerations. A first estimation is made of a user activity statistic associated with the user activity based on the accelerations. Location information is obtained by one or more location based sensors. A second estimation is made of the user activity statistic based on the location information. The user activity statistic is calculated based on the first estimation and the second estimation.

A method for monitoring human activity using an inertial sensor includes continuously determining an orientation of the inertial sensor, assigning a dominant axis, updating the dominant axis as the orientation of the inertial sensor changes, and counting periodic human motions by monitoring accelerations relative to the dominant axis.

A method for monitoring human activity using an inertial sensor includes obtaining acceleration measurement data from an inertial sensor disposed in eyewear. The acceleration measurement data is processed to determine a user activity statistic. The user activity statistic includes at least one of a current user activity, periodic human motion count, total distance traveled, vertical distance traveled, current speed and average speed.

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Aptos, CA, United States of America

Brian Y Lee