Apple Inc.

Barker N Bhaskaran

Bryan J James

Taido Lantz Nakajima

Karthik Jayaraman Raghuram

Alexander Kanaris

James Michael Silva

A computer-implemented method using a wearable device comprising collecting sensor data generated from one or more sensors of the wearable device and identifying a prompt for the user to engage in a wellness-related activity at a time for presentation, and presenting the prompt at the time for presentation. The method also includes determining that the wearable device is not being worn by the user, transmitting to a host device of an electronic coaching system a notification that the wearable device is not being worn by the user, and deactivating the one or more sensors in response to a determination that the wearable device is not being worn by the user.

Score based wellness coaching

Automated wellness coaching can be based at least in part on personality characteristics of the user. A coaching system, which can include one or more electronic devices that a user might carry or wear during daily activities, can present prompts at selected times to encourage a user to engage in various wellness activities and can measure the user's responsiveness. The content of a prompt, as well as the time, place, and/or manner of presenting the prompt, can be adapted to a personality profile maintained for the user and updated over time as the user interacts with the system. The system may also include capabilities to set specific wellness goals for the user and to prompt the user to actions aimed at the goal; goals can be modified and adapted based on the user's personality profile.

Personality based wellness coaching

A device can estimate the heart rate of an active user by using a physiological model to refine a 'direct' measurement of the user's heart rate obtained using a pulse sensor. The physiological model can be based on heart rate response to activity and can be informed by context information, such as the user's current activity and/or intensity level as well as user-specific parameters such as age, gender, general fitness level, previous heart rate measurements, etc. The physiological model can be used to predict a heart rate, and the prediction can be used to assess or improve the direct measurement.

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Fremont, CA, United States of America

Barker N Bhaskaran