Abstract: Methods, systems, and devices for physiological pattern recognition are described. A device may receive physiological data associated with a user from a wearable device. The device may determine that at least one physiological parameter associated with the received physiological data satisfies a physiological threshold associated with a pattern between the physiological threshold and a taggable event or a set of taggable events defined within an application associated with the wearable device. The device may then identify, based on the pattern, the taggable event or the set of taggable events indicating an activity the user engaged in that contributed to the at least one physiological parameter satisfying the physiological threshold, and cause a graphical user interface (GUI) of the device running the application to prompt the user to provide feedback associated with the identified taggable event or the identified set of taggable events.

Abstract: Methods, systems, and devices for operating a wearable device are described. The wearable device may determine that a user is wearing the wearable device. The wearable device may collect physiological data from the user based on determining that the user is wearing the wearable device. The wearable device may then determine an identity of the user based at least in part on the collected physiological data matching a physiological profile associated with the identity. The wearable device may then authenticate the user for an action by the wearable device that requires user authentication.

Abstract: Methods, systems, and devices for illness detection are described. A method may include receiving heart rate variability (HRV) data associated with a user from a wearable device, the HRV data collected via the wearable device throughout a first time interval and a second time interval subsequent to the first time interval. The method may include inputting the HRV data into a classifier, and identifying a satisfaction of deviation criteria between a first subset of the HRV data collected throughout the first time interval and a second subset of the HRV data collected throughout the second time interval. The method may include causing a graphical user interface (GUI) of a user device to display an illness risk metric for the user based on the satisfaction of the deviation criteria, the illness risk metric associated with a relative probability that the user will transition from a healthy state to an unhealthy state.

Abstract: Methods, systems, and devices for manufacturing of a wearable ring device are described. Generally, the techniques described herein may support a manufacturing process that reduces manufacturing complexities and deformities. For example, a deformable band may be positioned (e.g., by a manufacturing system) through an inner circumference of an inner housing of a wearable ring device. The manufacturing system may stretch the deformable band to create tension across at least a portion of the inner housing member, the tension including at least axial tension across one or more cutouts in the inner housing member. Accordingly, the manufacturing system may inject a fillable material through an opening in the wearable ring device, such that the fillable material fills a cavity between the inner housing member and an outer housing member of the wearable device and fills the one or more cutouts, contacting the deformable band, without further deforming the deformable band.

Abstract: Methods, systems, and devices for activity tracking are described. A method for automatic activity detection may include receiving physiological data associated with a user from a wearable device and identifying an activity segment during which the user is engaged in a physical activity based on the physiological data. The method may further include identifying location data associated with the user for at least a portion of the activity segment and identifying one or more parameters associated with the physical activity based on the physiological data and the location data. The method may further include causing a user device to display the one or more parameters associated with the physical activity.

Abstract: The present disclosure introduces a method for providing substantially optimal training instructions to a user based on temperature measurements performed by a wearable device. The algorithm determines non-REM sleep phases of the user, measures the maximum temperature of the NREM sleep phase or an averaged value among the maximum values of several NREM sleep phases in a night, and it determines most appropriate training instructions for the user based on that temperature information. Gender and age may also have an effect in the training instruction determinations. Training information and alerts can be given via a smartphone application to the user.

Abstract: An authentication method includes registering in an authentication service associated with an application, a ID of a wearable device, disposing the wearable device proximate to a smart device that does not have the application, to provide the ID and an identifier for the application, wherein the smart device stores a document, receiving in the authentication service from the smart device, a communication including the ID, the identifier, and the document, wherein the smart device receives the application in response to the identifier, determining in the authentication service, whether an authentication service is approved in response to the ID, digitally signing in the authentication service, the document to form a digitally signed document, in response to the document and to determining that the authentication service is approved, outputting with the authentication service, the digitally signed document to the smart device.

Abstract: Methods, systems, and devices for detection of medical conditions using respiration rate data are described. A method may include receiving physiological data associated with a user, the physiological data being continuously collected via a wearable device associated with the user, determining a set of respiration rate values for the user over a time interval based on the physiological data, and determining one or more respiration rate parameters associated with a change of the set of respiration rate values over the time interval. The method may further include determining one or more condition risk metrics associated with one or more medical conditions based on the one or more respiration rate parameters, where the one or more condition risk metrics associated with a relative probability that the user is associated with a respective medical condition.

Abstract: Methods, systems, and devices for activity tracking are described. A method for automatic activity detection may include receiving physiological data associated with a user from a wearable device and identifying an activity segment during which the user is engaged in a physical activity based on the physiological data. The method may further include identifying location data associated with the user for at least a portion of the activity segment and identifying one or more parameters associated with the physical activity based on the physiological data and the location data. The method may further include causing a user device to display the one or more parameters associated with the physical activity.

Abstract: Methods, systems, and devices for device-inputted commands are described. A system may receive physiological data, including motion data, associated with a user from a wearable device worn by the user and may detect multiple motion pulses based on the motion data, where each motion pulse includes motion data that exceeds a motion threshold. The system may additionally identify an input command pattern comprising at least one motion pulse preceded and followed by a static period in a time domain. Additionally, the system may identify one or more user inputs based on the input command pattern matching a reference command pattern and generate one or more instructions based on identifying the one or more user inputs.

Abstract: The invention relates to a system for indicating information representing battery status of an electronic device. The system comprises a charging unit and an electronic device. The charging unit comprises charging means, wireless communication means, and indication means. The electronic device comprises a rechargeable battery, charging means, and wireless communication means. During the wireless charging of the electronic device, the electronic device is configured to detect information representing the battery status of said electronic device and to communicate the detected information representing the battery status to the charging unit, and the charging unit is configured to receive the information from the electronic device and to indicate at least part of the received information representing the battery status of the electronic device. The invention relates also to a method for indicating information representing battery status of an electronic device.

Abstract: Methods, systems, and devices for dynamic application icons are described. The application may receive, as part of an application downloading operation, an application software package. The application software package may include a plurality of icons that are configured to visually distinguish the application on a user interface of the user device from other applications running on an operating system of the user device. The application may identify a satisfaction of an achievement threshold corresponding to an alternate icon based on processing data. The application may output, to the operating system of the user device, a visual display instruction to display the alternate icon on the user interface instead of the default icon based on identifying the satisfaction of the achievement threshold. The alternate icon may be visually representative of a type of achievement corresponding to the achievement threshold.

Abstract: Methods, systems, and devices for miscarriage identification are described. A system may be configured to receive physiological data associated with a user that is pregnant and collected over a plurality of days, where the physiological data includes at least temperature data. Additionally, the system may be configured to determine a time series of temperature values. The system may then identify that the temperature values are lower than a pregnancy baseline of temperature values for the user and detect an indication of an early pregnancy loss of the user. The system may generate a message for display on a graphical user interface on a user device that indicates the indication of the early pregnancy loss.

Abstract: Methods, systems, and devices for a functional cover are described. A removable cover (e.g., a functional cover) for a wearable ring device (e.g., a ring wearable) may include one or more electrical components positioned at least partially within the removable cover. In some cases, the functional cover may wireless connect with the ring wearable. The removable cover may further include a first inductive component within the removable cover, where the first inductive component is configured to wirelessly communicate with a second inductive component of the wearable ring device when the removable cover is in a mounted state on the wearable ring device. The first inductive component of the removable cover may be configured to transfer electrical current, data, or both, between the one or more electrical components of the removable cover and one or more additional electrical components of the wearable ring device.

Abstract: Methods, systems, and devices for providing physiological state-related insights associated with a user are described. A method includes receiving physiological data associated with the user from at least one wearable device, the physiological baseline providing reference user alertness data. The method further includes obtaining a physiological baseline associated with the user based at least in part on the baseline physiological data associated with the user, the physiological baseline providing reference user alertness data. The method further includes receiving additional physiological data associated with the user from the at least one wearable device. The method further includes obtaining current user alertness data based at least in part on the additional physiological data associated with the user.

Abstract: A method and system for supplemental sleep detection is described. A system may receive data associated with a user from a wearable device worn by the user, and may detect a primary sleep period for the user based on the received data. The system may additionally detect a supplemental sleep period including a duration that exceeds a threshold duration based on the received data. In some implementations, the system may cause a graphical user interface (GUI) of a user device to display an indication of the detected supplemental sleep period, and may receive a confirmation of the supplemental sleep period via the user device and in response to the indication of the detected supplemental sleep period. The system may subsequently generate one or more insights associated with the user based on the primary sleep period and the supplemental sleep period and, in some implementations, in response to the confirmation.

Abstract: Methods, systems, and devices for wireless charger are described. A charging device may include a base configured to receive a ring-shaped wearable device in multiple radial orientations relative to the base. The charging device may also include a magnetic component configured to magnetically attract a magnetic component of the ring-shaped wearable device to orient the wearable device in a single radial orientation relative to the base. The charging device may include an inductive charging component that may wireless charge the wearable device via an inductive charging component of the wearable device based on the inductive charging components being within a threshold distance.