Abstract: A wearable computing device includes an electronic display with a configurable brightness level setting, a physiological metric sensor system including a light source configured to direct light into tissue of a user wearing the wearable computing device and a light detector configured to detect light from the light source that reflects back from the user. The device may further include control circuitry configured to activate the light source during a first period, generate a first light detector signal indicating a first amount of light detected by the light detector during the first period, deactivate the light source during a second period, generate a second light detector signal indicating a second amount of light detected by the light detector during the second period, generate a physiological metric based at least in part on the first light detector signal and the second light detector signal, and modify the configurable brightness level setting based on the second light detector signal.

Abstract: In one embodiment, an electronic device to be worn on a user's forearm includes a display and a set of one or more sensors that provide sensor data. In one aspect, a device may detect, using sensor data obtained from a set of sensors, that a first activity state of a user is active. The device may determine, while the first activity state is active, that the sensor data matches a watch check rule associated with the first activity state. Responsive to the detected match, the device may cause a change in visibility of the display.

Abstract: In one embodiment, an electronic device to be worn on a user's forearm includes a display and a set of one or more sensors that provide sensor data. In one aspect, a device may detect, using sensor data obtained from a set of sensors, that a first activity state of a user is active. The device may determine, while the first activity state is active, that the sensor data matches a watch check rule associated with the first activity state. Responsive to the detected match, the device may cause a change in visibility of the display.

Abstract: A system and method of tracking activity includes a motion sensor, a light source and a light detector. The light detector is configured to capture an amount of the light that is reflected back to the light detector, at least a first portion of the light reflected back to the light detector is reflected from a blood vessel disposed under a skin adjacent to the housing. A processor is in communication with the motion sensor and the light detector and can process the reflected light to identify heart beats and produce an indication of a heart rate. The indication of the heart rate can be displayed on the display screen as an option, in addition to the metrics that quantify the motion data.

Abstract: The disclosure relates to methods, devices, and systems to identify a user of a wearable fitness monitor using data obtained using the wearable fitness monitor. Data obtained from motion sensors of the wearable fitness monitor and data obtained from heartbeat waveform sensors of the wearable fitness monitor may be used to identify the user.

Abstract: 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.

Abstract: According to one embodiment, an apparatus comprising a portable monitoring device to be affixed to a user. The portable monitoring device including: 1) a set of one or more sensors to generate sensor data indicative of physical activity of a user when the portable monitoring device is affixed to the user; and 2) processing circuitry coupled with the set of sensors, to detect that the user has been sedentary for a period of time, and cause the portable monitoring device to alert the user responsive to the detection to encourage the user to move.

Abstract: Biometric monitoring devices, including various technologies that may be implemented in such devices, are discussed herein. Additionally, techniques for utilizing gyroscopes in biometric monitoring devices are provided. Such techniques may, in some implementations, involve obtaining swimming metrics regarding stroke cycle count, lap count, and stroke type. Such techniques may also, in some implementations, involve obtaining performance metrics for bicycling activities.

Abstract: In one embodiment, an electronic device to be worn on a user's forearm includes a display and a set of one or more sensors that provide sensor data. In one aspect, a device may detect, using sensor data obtained from a set of sensors, that a first activity state of a user is active. The device may determine, while the first activity state is active, that the sensor data matches a watch check rule associated with the first activity state. Responsive to the detected match, the device may cause a change in visibility of the display.

Abstract: Some embodiments relate to a device, method, and/or computer-readable medium storing processor-executable process steps for processing a photoplethysmographic (“PPG”) signal in a monitoring device that monitors a property of blood flow. In some embodiments, the processing includes obtaining a first digital signal representing a detected light signal having a non-pulsatile (e.g., DC) component and a pulsatile component (e.g., AC). An offset control signal is generated from an estimation of the non-pulsatile component and a second digital signal is generated after subtracting the offset control signal from the detected light signal and applying a gain to the subtracted signal. A reconstructed signal is generated that is calculated from the gain and one or more of (i) the first digital signal, and (ii) the second digital signal and the offset control signal.

Abstract: Assisted-GPS for a portable biometric monitoring device is provided. The portable biometric monitoring device may obtain updated ephemeris data from an associated secondary device via a short-range, low-power communication protocol. The secondary device may be a computing device such as a smartphone, tablet, or laptop. Various rules may control when the ephemeris data is updated. The ephemeris data may be used in the calculation of the global position of the portable biometric monitoring device. Additionally, the portable biometric monitoring device may communicate downloaded position fixing data to the associated secondary device. The associated secondary device may then calculate the global position from the position fixing data.

Abstract: The disclosure relates to methods, devices, and systems to identify a user of a wearable fitness monitor using data obtained using the wearable fitness monitor. Data obtained from motion sensors of the wearable fitness monitor and data obtained from heartbeat waveform sensors of the wearable fitness monitor may be used to identify the user.

Abstract: A biometric monitoring device and multiple carrying cases for same are provided. In some implementations, the case may be made from a flexible viscoelastic material and the biometric monitoring device may be slipped into a receptacle in the case through an opening in the case; the opening may become distended during the insertion of the biometric monitoring device. In some implementations, the case may feature a display window that, in combination with materials of the biometric monitoring device, may mask a display of the biometric monitoring device from view when the display is off and may allow the display to be seen when the display is displaying content.

Abstract: Methods, apparatuses, and systems are provided for interacting with a user to promote engagement with a fitness monitoring device configured to measure a fitness parameter of the user, which may include determining, by one or more processors in at least one of the fitness monitoring device or a device in communication with the fitness monitoring device, that user engagements with the fitness monitoring device have occurred on multiple occasions, in which each user engagement produces at least one measurement of the fitness parameter; receiving, by the one or more processors, information indicating a level of engagement metric for the user based, at least in part, on multiple detected the multiple user engagements with the fitness monitoring device; and generating, by the one or more processors and based on the level of engagement metric, a notification containing information relating to at least a level of user engagement with the fitness monitoring device or the fitness parameter.

Abstract: Techniques for music selection based on exercise detection are disclosed. In one aspect, a method of operating a wearable device may involve determining, based on output of one or more biometric sensors, that a user of the wearable device has started an exercise and playing music for the user of the wearable device in response to determining the start of the exercise. For example, playing the music may involve turning on a music player based on the start of the exercise. In another example, the wearable device includes the music player.

Abstract: In one embodiment, an electronic device to be worn on a user's forearm includes a display and a set of one or more sensors that provide sensor data. In one aspect, a device may detect, using sensor data obtained from a set of sensors, that a first activity state of a user is active. The device may determine, while the first activity state is active, that the sensor data matches a watch check rule associated with the first activity state. Responsive to the detected match, the device may cause a change in visibility of the display.

Abstract: An activity monitoring device and associated methods for using and interfacing with the activity monitoring device are provided. In one example, the activity monitoring device includes a housing configured for attachment to a body part of a user. Also included ins a display screen attached to the housing and a sensor for capturing physiological conditions of the user. The sensor is disposed along a surface of the housing so that the sensor is proximate to the body part, the body part having at least some exposed skin. The activity monitoring device also includes memory for storing the captured physiological conditions, and a processor for examining the captured physiological conditions. At a particular time, the processor automatically selects an application to execute from a plurality of applications based on characteristics of the captured physiological conditions.

Abstract: A computer-implemented method is described. The computer-implemented method is used for populating data of a graphical user interface (GUI). The computer-implemented method includes generating one or more graphical elements of one or more activities captured by a monitoring device. The monitoring device is usable by a user during the capturing. The method further includes generating a timeline including a time period over which the activities are performed. The timeline includes a chronological order of time within the time period. The method further includes generating an activity symbol for one or more of the activities performed during the time period. The activity symbol has an image that is graphically overlaid on the graphical elements of the activities.

Abstract: Systems and methods for segmenting a period of time into identification of locations of a user who performs activities are described. One of the methods includes detecting activity of a monitoring device worn by the user. The activity includes an amount of movement of the monitoring device. The activity is performed for a period of time. The method further includes obtaining geo-location data for the monitoring device and storing, during the period of time, the detected activity and corresponding geo-location data. The method also includes analyzing the detected activity and the corresponding geo-location data to identify one or more events. Each event is associated with a group of activity data and one or more of the groups of activity data is associated with an identifier, which is obtained using the geo-location data.

Abstract: The disclosure relates to methods, devices, and systems to identify a user of a wearable fitness monitor using data obtained using the wearable fitness monitor. Data obtained from motion sensors of the wearable fitness monitor and data obtained from heartbeat waveform sensors of the wearable fitness monitor may be used to identify the user.