Fitbit, Inc.

Allison Maya Russell

Jacob Antony Arnold

Zachary Todd Beattie

Shelten Gee Jao Yuen

Alexander Statan

Yeqing Cheng

Yasaman Baiani

Zachariah Lord Wasson, Ii

Emma Jane Quinn

Delisa Lopez

Conor Joseph Heneghan

Alexandros A Pantelopoulos

Atiyeh Ghoreyshi

Belen Lafon

Philip Foeckler

Adrienne M Tucker

Nicholas Myers

Jacob Anthony Arnold

Alan McLean

Adrienne Mason Tucker

Systems and methods for determining a sedentary state of a user are described. Sensor data is collected and analyzed to calculate metabolic equivalent of task (MET) measures for a plurality of moments of interest. Based on the MET measures and a time period for which the MET measures exceed a threshold value, it is determined whether the user is in a sedentary state. If the user is in the sedentary state, the user is provided a notification to encourage the user to perform a non-sedentary activity.

Sedentary period detection using a wearable electronic device

A system, computer-readable storage medium, and a method capable of, directly or indirectly, estimating sleep states of a user based on sensor data from movement sensors and/or optical sensors.

Methods and systems for labeling sleep states

Assessing the sleep quality of a user in association with an electronic device with one or more physiological sensors includes detecting an attempt by the user to fall asleep, and collecting physiological information associated with the user. The disclosed method of assessing sleep quality may include determining respective values for one or more sleep quality metrics, including a first set of sleep quality metrics associated with sleep quality of a plurality of users, and a second set of sleep quality metrics associated with historical sleep quality of the user, based at least in part on the collected physiological information and at least one wakeful resting heart rate of the user, and determining a unified score for sleep quality of the user, based at least in part on the respective values of the one or more sleep quality metrics.

Sleep scoring based on physiological information

Methods, techniques, apparatuses, and systems for setting up and tracking sleep consistency goals of users are provided. In one example, a computing system for setting a sleep schedule of a user of a biometric monitoring device may obtain sleep data derived from sensor data generated by the biometric monitoring device, store the sleep data in a sleep log data store as one or more sleep logs associated with an account assigned to the user, and calculate a target bedtime based on a scheduled waketime of the user and a sleep efficiency derived, at least in part, from the sleep data for one or more users stored in the sleep log data store. The computing system may also be configured to provide a number of personalized user interfaces to an individual for the purposes of setting a sleep schedule. Such interfaces may include parameters that are tailored to the individual sleep needs and/or characteristics of the individual's sleep.

Systems and techniques for tracking sleep consistency and sleep goals

Sedentary period detection utilizing a wearable electronic device

Methods, systems, and computer programs are presented for generating alarms and congratulatory messages to reduce sedentary time. One method includes an operation for capturing motion data using an activity tracking device. The method further includes operations for storing the motion data in memory, and for identifying one or more intervals during a day. Each interval includes a start time and an end time, and a near-end time is defined between the start and the end time. For each interval, the number of steps taken during the interval is determined, and the number of steps is compared against a goal defined by a number of steps to be taken during the interval. A first notification is displayed when the number of steps is less than the goal and the near-end time has been reached. A second notification is displayed congratulating the user if the interval goal is reached.

Periodic inactivity alerts and achievement messages

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San Francisco, CA, United States of America

Allison Maya Russell