Abstract: Systems, devices, and methods for tracking one or more physiological metrics (e.g., heart rate, blood oxygen saturation, and the like) of a user are described. For example, one or more light sources and one or more light detectors may be positioned on a wearable device such that light can be emitted towards the user's skin and further such that light reflected back to the wearable device can be measured and used to generate values for the one or more physiological metrics.

Abstract: In one embodiment, a data processing method comprises obtaining one or more first photoplethysmography (PPG) signals based on one or more first light sources that are configured to emit light having a first light wavelength corresponding to a green light wavelength; obtaining one or more second PPG signals based on one or more second light sources that are configured to emit light having a second light wavelength corresponding to a red light wavelength, one or more of the first light sources and one or more of the second light sources being co-located; generating an estimated heart rate value based on one or more of the first PPG signals and the second PPG signals; and causing the estimated heart rate value to be displayed via a user interface on a client device.

Abstract: Systems, devices, and methods for tracking one or more physiological metrics (e.g., heart rate, blood oxygen saturation, and the like) of a user are described. For example, one or more light sources and one or more light detectors may be positioned on a wearable device such that light can be emitted towards the user's skin and further such that light reflected back to the wearable device can be measured and used to generate values for the one or more physiological metrics.

Abstract: Systems, devices, and methods for tracking one or more physiological metrics (e.g., heart rate, blood oxygen saturation, and the like) of a user are described. For example, one or more light sources and one or more light detectors may be positioned on a wearable device such that light can be emitted towards the user's skin and further such that light reflected back to the wearable device can be measured and used to generate values for the one or more physiological metrics.

Abstract: Systems, devices, and methods for tracking one or more physiological metrics (e.g., heart rate, blood oxygen saturation, and the like) of a user are described. For example, one or more light sources and one or more light detectors may be positioned on a wearable device such that light can be emitted towards the user's skin and further such that light reflected back to the wearable device can be measured and used to generate values for the one or more physiological metrics.

Abstract: In one embodiment, a data processing method comprises obtaining one or more first photoplethysmography (PPG) signals based on one or more first light sources that are configured to emit light having a first light wavelength corresponding to a green light wavelength; obtaining one or more second PPG signals based on one or more second light sources that are configured to emit light having a second light wavelength corresponding to a red light wavelength, one or more of the first light sources and one or more of the second light sources being co-located; generating an estimated heart rate value based on one or more of the first PPG signals and the second PPG signals; and causing the estimated heart rate value to be displayed via a user interface on a client device.

Abstract: In one embodiment, a data processing method comprises obtaining one or more first photoplethysmography (PPG) signals based on one or more first light sources that are configured to emit light having a first light wavelength corresponding to a green light wavelength; obtaining one or more second PPG signals based on one or more second light sources that are configured to emit light having a second light wavelength corresponding to a red light wavelength, one or more of the first light sources and one or more of the second light sources being co-located; generating an estimated heart rate value based on one or more of the first PPG signals and the second PPG signals; and causing the estimated heart rate value to be displayed via a user interface on a client device.

Abstract: A method and apparatus for capacitive off-wrist detection for wearable device are disclosed. In one aspect, the wearable device includes one or more biometric sensors including a capacitive sensor. The method may involve measuring, based on output of the capacitive sensor, a capacitance value indicative of proximity of the wearable device to a user. The method may also involve detecting a change in the capacitance value within a defined time interval, the change being greater than or equal to a threshold change indicative of the wearable device not being proximate to the user's skin. The method may further involve determining that the wearable device has been removed from the user in response to detecting that the change in the capacitance value within the defined time interval is greater than or equal to the threshold change.

Abstract: A method and apparatus for capacitive off-wrist detection for wearable device are disclosed. In one aspect, the wearable device includes one or more biometric sensors including a capacitive sensor. The method may involve measuring, based on output of the capacitive sensor, a capacitance value indicative of proximity of the wearable device to a user. The method may also involve detecting a change in the capacitance value within a defined time interval, the change being greater than or equal to a threshold change indicative of the wearable device not being proximate to the user's skin. The method may further involve determining that the wearable device has been removed from the user in response to detecting that the change in the capacitance value within the defined time interval is greater than or equal to the threshold change.

Abstract: In one embodiment, a data processing method comprises obtaining one or more first photoplethysmography (PPG) signals based on one or more first light sources that are configured to emit light having a first light wavelength corresponding to a green light wavelength; obtaining one or more second PPG signals based on one or more second light sources that are configured to emit light having a second light wavelength corresponding to a red light wavelength, one or more of the first light sources and one or more of the second light sources being co-located; generating an estimated heart rate value based on one or more of the first PPG signals and the second PPG signals; and causing the estimated heart rate value to be displayed via a user interface on a client device.

Abstract: A method and apparatus for capacitive off-wrist detection for wearable device are disclosed. In one aspect, the wearable device includes one or more biometric sensors including a capacitive sensor. The method may involve measuring, based on output of the capacitive sensor, a capacitance value indicative of proximity of the wearable device to a user. The method may also involve detecting a change in the capacitance value within a defined time interval, the change being greater than or equal to a threshold change indicative of the wearable device not being proximate to the user's skin. The method may further involve determining that the wearable device has been removed from the user in response to detecting that the change in the capacitance value within the defined time interval is greater than or equal to the threshold change.