Abstract: Some embodiments provide a wearable fitness monitoring device including a motion sensor and a photoplethysmographic (PPG) sensor. The PPG sensor includes (i) a periodic light source, (ii) a photo detector, and (iii) circuitry determining a user's heart rate from an output of the photo detector. Some embodiments provide methods for operating a heart rate monitor of a wearable fitness monitoring device to measure one or more characteristics of a heartbeat waveform. Some embodiments provide methods for operating the wearable fitness monitoring device in a low power state when the device determines that the device is not worn by a user. Some embodiments provide methods for operating the wearable fitness monitoring device in a normal power state when the device determines that the device is worn by a user.

Abstract: Methods, apparatuses, and systems are provided for determining a level of user engagement with a fitness monitoring device and, when a level of engagement metric for the fitness monitoring device for a person meets certain criteria, encouraging user engagement with the fitness monitoring device.

Abstract: Some embodiments provide a wearable fitness monitoring device including a motion sensor and a photoplethysmographic (PPG) sensor. The PPG sensor includes (i) a periodic light source, (ii) a photo detector, and (iii) circuitry determining a user's heart rate from an output of the photo detector. Some embodiments provide methods for operating a heart rate monitor of a wearable fitness monitoring device to measure one or more characteristics of a heartbeat waveform. Some embodiments provide methods for operating the wearable fitness monitoring device in a low power state when the device determines that the device is not worn by a user. Some embodiments provide methods for operating the wearable fitness monitoring device in a normal power state when the device determines that the device is worn by a user.

Abstract: The disclosure provides BMDs that have multiple device modes depending on operational conditions of the devices, e.g., motion intensity, device placement, and/or activity type, the device modes are associated with various data processing algorithms. In some embodiments, the BMD is implemented as a wrist-worn or arm-worn device. In some embodiments, methods for tracking physiological metrics using the BMDs are provided. In some embodiments, the process and the BMD applies a time domain analysis on data provided by a sensor of the BMD when the data has a high signal (e.g., high signal-to-noise ratio), and applies a frequency domain analysis on the data when the data has a low signal, which contributes to improved accuracy and speed of biometric data.

Abstract: The disclosure provides BMDs that have multiple device modes depending on operational conditions of the devices, e.g., motion intensity, device placement, and/or activity type. The device modes are associated with various data processing algorithms. In some embodiments, the BMD is implemented as a wrist-worn or arm-worn device. In some embodiments, methods for tracking physiological metrics using the BMDs are provided. In some embodiments, the process or the BMD determines that the user is engaged in a particular activity type by detecting a signature signal selectively associated with the particular activity type, and quantifies a physiological metric for the particular activity type.

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: The disclosure provides BMDs that have multiple device modes depending on operational conditions of the devices, e.g., motion intensity, device placement, and/or activity type, the device modes are associated with various data processing algorithms. In some embodiments, the BMD is implemented as a wrist-worn or arm-worn device. In some embodiments, methods for tracking physiological metrics using the BMDs are provided. In some embodiments, the process and the BMD applies a time domain analysis on data provided by a sensor of the BMD when the data has a high signal (e.g., high signal-to-noise ratio), and applies a frequency domain analysis on the data when the data has a low signal, which contributes to improved accuracy and speed of biometric data.

Abstract: Methods, devices, and computer programs are presented for creating a unified data stream from multiple data streams acquired from multiple devices. One method includes an operation for receiving activity data streams from the devices, each activity data stream being associated with physical activity data of a user. Further, the method includes an operation for assembling the unified activity data stream for a period of time. The unified activity data stream includes data segments from the data streams of at least two devices, and the data segments are organized time-wise over the period of time.

Abstract: Some embodiments provide a wearable fitness monitoring device including a motion sensor and a photoplethysmographic (PPG) sensor. The PPG sensor includes (i) a periodic light source, (ii) a photo detector, and (iii) circuitry determining a user's heart rate from an output of the photo detector. Some embodiments provide methods for operating a heart rate monitor of a wearable fitness monitoring device to measure one or more characteristics of a heartbeat waveform. Some embodiments provide methods for operating the wearable fitness monitoring device in a low power state when the device determines that the device is not worn by a user. Some embodiments provide methods for operating the wearable fitness monitoring device in a normal power state when the device determines that the device is worn by a user.

Abstract: Some embodiments provide a wearable fitness monitoring device including a motion sensor and a photoplethysmographic (PPG) sensor. The PPG sensor includes (i) a periodic light source, (ii) a photo detector, and (iii) circuitry determining a user's heart rate from an output of the photo detector. Some embodiments provide methods for operating a heart rate monitor of a wearable fitness monitoring device to measure one or more characteristics of a heartbeat waveform. Some embodiments provide methods for operating the wearable fitness monitoring device in a low power state when the device determines that the device is not worn by a user. Some embodiments provide methods for operating the wearable fitness monitoring device in a normal power state when the device determines that the device is worn by a user. Some embodiments provide methods for using response characteristics of the user's skin to adjust a gain and/or light emission intensity of the heart rate monitor.

Abstract: Some embodiments provide a wearable fitness monitoring device including a motion sensor and a photoplethysmographic (PPG) sensor. The PPG sensor includes (i) a periodic light source, (ii) a photo detector, and (iii) circuitry determining a user's heart rate from an output of the photo detector. Some embodiments provide methods for operating a heart rate monitor of a wearable fitness monitoring device to measure one or more characteristics of a heartbeat waveform. Some embodiments provide methods for operating the wearable fitness monitoring device in a low power state when the device determines that the device is not worn by a user. Some embodiments provide methods for operating the wearable fitness monitoring device in a normal power state when the device determines that the device is worn by a user. Some embodiments provide methods for using response characteristics of the user's skin to adjust a gain and/or light emission intensity of the heart rate monitor.

Abstract: Some embodiments provide a wearable fitness monitoring device including a motion sensor and a photoplethysmographic (PPG) sensor. The PPG sensor includes (i) a periodic light source, (ii) a photo detector, and (iii) circuitry determining a user's heart rate from an output of the photo detector. Some embodiments provide methods for operating a heart rate monitor of a wearable fitness monitoring device to measure one or more characteristics of a heartbeat waveform. Some embodiments provide methods for operating the wearable fitness monitoring device in a low power state when the device determines that the device is not worn by a user. Some embodiments provide methods for operating the wearable fitness monitoring device in a normal power state when the device determines that the device is worn by a user.

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: The disclosure provides BMDs that have multiple device modes depending on operational conditions of the devices, e.g., motion intensity, device placement, and/or activity type. The device modes are associated with various data processing algorithms. In some embodiments, the BMD is implemented as a wrist-worn or arm-worn device. In some embodiments, methods for tracking physiological metrics using the BMDs are provided. In some embodiments, the process or the BMD applies a time domain analysis on data provided by a sensor of the BMD when the data has a high signal (e.g., high signal-to-noise ratio), and applies a frequency domain analysis on the data when the data has a low signal, which contributes to improved accuracy and speed of biometric data.

Abstract: Methods, devices, and computer programs are presented for consolidating overlapping data provided by multiple sources. One method includes operations for associating a plurality of devices to a user, each device operable to capture data associated with the user, and for receiving, from the plurality of devices, captured data about a first activity associated with a first period of time. Additionally, the method includes operations for detecting that the received captured data from two or more devices provide overlapping information about the first activity, and for evaluating one or more rules for consolidating the overlapping information to produce consolidated data. The consolidated data provides a unified view of the first activity during the first period of time. The consolidated data is stored in permanent storage and made available for presentation to the user.

Abstract: Methods, devices, and computer programs are presented for consolidating overlapping data provided by multiple sources. One method includes operations for associating a plurality of devices to a user, each device operable to capture data associated with the user, and for receiving, from the plurality of devices, captured data about a first activity associated with a first period of time. Additionally, the method includes operations for detecting that the received captured data from two or more devices provide overlapping information about the first activity, and for evaluating one or more rules for consolidating the overlapping information to produce consolidated data. The consolidated data provides a unified view of the first activity during the first period of time. The consolidated data is stored in permanent storage and made available for presentation to the user.

Abstract: Methods, devices, and computer programs are presented for creating a unified data stream from multiple data streams acquired from multiple devices. One method includes an operation for receiving activity data streams from the devices, each activity data stream being associated with physical activity data of a user. Further, the method includes an operation for assembling the unified activity data stream for a period of time. The unified activity data stream includes data segments from the data streams of at least two devices, and the data segments are organized time-wise over the period of time.

Abstract: Methods, devices, and computer programs are presented for consolidating overlapping data provided by multiple sources. One method includes operations for associating a plurality of devices to a user, each device operable to capture data associated with the user, and for receiving, from the plurality of devices, captured data about a first activity associated with a first period of time. Additionally, the method includes operations for detecting that the received captured data from two or more devices provide overlapping information about the first activity, and for evaluating one or more rules for consolidating the overlapping information to produce consolidated data. The consolidated data provides a unified view of the first activity during the first period of time. The consolidated data is stored in permanent storage and made available for presentation to the user.

Abstract: A biometric monitoring device with a display is provided. The biometric monitoring device may track the completion progress towards one or more biometric performance goals and provide a goal celebration indicator upon completion of a biometric performance goal and subsequent receipt of an input signal. In some implementations, the completion of a biometric performance goal may be signaled prior to receipt of the input signal using a secondary indicator.