Abstract: Methods, systems, and devices for experimental programs are described. A method includes acquiring baseline PPG data from a user via a wearable device throughout a time interval, and displaying one or more experimental programs via a user device based on the baseline PPG data, where each experimental program is associated with one or more behavioral changes. Upon a selection of an experimental program, the method includes acquiring additional PPG data from the user via the wearable device throughout a time interval of the experimental program. The method includes identifying adherence of the user to a behavioral change of the experimental program based on the additional PPG data and/or information received via the user device. The method further includes displaying, via the user device, changes between the baseline PPG data and the additional PPG data based on identifying the adherence to the behavioral change.

Abstract: Methods, systems, and devices for leveraging data from multiple data sources are described. A method includes receiving physiological data associated with a user from a wearable device and receiving additional data from an external device different from the wearable device, the additional data including at least data associated with characteristics of an environment associated with the user. The method further includes identifying one or more relationships between the collected physiological data and the characteristics of the environment associated with the user, and causing a graphical user interface (GUI) of a user device to display an indication of the one or more relationships, a message associated with the one or more relationships, or both. In some cases, the method includes causing the GUI to display instructions for selectively adjusting the one or more characteristics of the environment associated with the user based on the one or more relationships.

Abstract: Methods, systems, and devices for controlling external devices are described. A method may include receiving physiological data associated with a user from a wearable device, and identifying one or more physiological states, physical activities, or both, associated with the user based on the physiological data. Physiological states may include physiological states associated with waking up, falling asleep, anxiety, relaxation, and the like. The method may further include transmitting an instruction to one or more external devices based on the one or more physiological states, physical activities, or both, where the instruction is configured to selectively modify one or more operational parameters associated with the one or more external devices.

Abstract: Methods, systems, and devices for leveraging data from multiple data sources are described. A method includes receiving physiological data associated with a user from a wearable device and receiving additional data from an external device different from the wearable device, the additional data including at least data associated with characteristics of an environment associated with the user. The method further includes identifying one or more relationships between the collected physiological data and the characteristics of the environment associated with the user, and causing a graphical user interface (GUI) of a user device to display an indication of the one or more relationships, a message associated with the one or more relationships, or both. In some cases, the method includes causing the GUI to display instructions for selectively adjusting the one or more characteristics of the environment associated with the user based on the one or more relationships.

Abstract: Methods, systems, and devices for multiple wearable devices are described. A method may include receiving first physiological data associated with a user from a first wearable device worn at a first position on the user and second physiological data associated with the user from a second wearable device worn at a second position on the user. This method may include determining one or more physiological characteristics associated with the user based on a comparison of the first physiological data and the second physiological data and displaying an indication of the one or more physiological characteristics on a graphical user interface (GUI) of a user device.

Abstract: A method and a system for providing feedback to a user for adjusting sleep pattern of the user. The method includes collecting a set of information related to the user, receiving a set of measurement data related to the user from a wearable electronic device, defining circadian rhythm and duration of sleep of the user, determining sleep scores for a predefined number of days and associating each sleep score with a corresponding go-to-bed time or time of falling asleep of the user. A sleep score is determined for each of the predefined number of days from the collected set of information, the set of measurement data, the circadian rhythm and the duration of sleep of the user. The method further includes analysing the sleep scores and associated go-to-bed time or time of falling asleep of the user to determine an optimum bedtime window for the user and providing feedback to the user based on the analysed sleep scores and the optimum bedtime window.

Abstract: A method and a system for providing feedback to a user for adjusting sleep pattern of the user. The method includes collecting a set of information related to the user, receiving a set of measurement data related to the user from a wearable electronic device, defining circadian rhythm and duration of sleep of the user, determining sleep scores for a predefined number of days and associating each sleep score with a corresponding go-to-bed time or time of falling asleep of the user. A sleep score is determined for each of the predefined number of days from the collected set of information, the set of measurement data, the circadian rhythm and the duration of sleep of the user. The method further includes analysing the sleep scores and associated go-to-bed time or time of falling asleep of the user to determine an optimum bedtime window for the user and providing feedback to the user based on the analysed sleep scores and the optimum bedtime window.

Abstract: The present invention introduces a method for guiding an optimal stretching time to a user who has a wearable electronic device and a mobile communication device for measuring a set of measurement data comprising activity data of the user. The determination logic, implemented e.g. in a form of a server, takes age and gender into account, and determines a stretching index based on the activity of the user. The optimal stretching time may be alerted, with stretching guidance, to the user. Sleep can be taken into account as well. The system measures whether the actual stretching is done. Sleep is further analyzed, so the effect of the stretching can be monitored and this information can be given back to the user via the mobile communication device. Stretching guides can be updated as well. The wearable electronic device can be a ring device.

Abstract: A method and a system for providing feedback to a user for adjusting sleep pattern of the user. The method includes collecting a set of information related to the user, receiving a set of measurement data related to the user from a wearable electronic device, defining circadian rhythm and duration of sleep of the user, determining sleep scores for a predefined number of days and associating each sleep score with a corresponding go-to-bed time or time of falling asleep of the user. A sleep score is determined for each of the predefined number of days from the collected set of information, the set of measurement data, the circadian rhythm and the duration of sleep of the user. The method further includes analysing the sleep scores and associated go-to-bed time or time of falling asleep of the user to determine an optimum bedtime window for the user and providing feedback to the user based on the analysed sleep scores and the optimum bedtime window.

Abstract: This document discloses a portable system comprising a physical activity monitoring device comprising: a wireless proximity detection module configured to detect a proximity of an input control entity with respect to the physical activity monitoring device and output a control signal as a response to the detection, wherein the proximity is a non-zero distance between the input control entity and the training computer; and a user interface controller configured to generate, as a response to the control signal from the wireless proximity detection module, at least one of an audio control function and a display control function.

Abstract: A system includes a portable device and an external device connected wirelessly. Graphical user interface data determines a user interface functionality to be executed in a user interface of the external device in the portable apparatus, and is transmitted to the external device. The user interface functionality includes presenting at least one graphical interaction element on the user interface and receiving user input as a response to the user interacting with the graphical interaction element. The input data received from the user interface is used in the portable device to control a computer process relating to physiological data.

Abstract: A wearable electronic apparatus, a computer program and a method are disclosed. Physical activity data measured relating to a user of a wearable electronic apparatus is obtained. An exercise mode of the wearable electronic apparatus is switched on such that information related to the physical activity data is outputted to the user. While the exercise mode is on, wireless application data is received, and, only if the application data fulfills a predetermined relevance condition, the application data is outputted to the user.

Abstract: A system includes a wrist computer and a portable video camera. The wrist computer acquires physical activity data measured by a sensor device, generates a time marker on the basis of the physical activity data, and transmits the time marker to the portable video camera according to a predefined wireless communication protocol. The portable video camera is configured to record video data, encode the video data into a video data file, and store the received time marker as meta data in the video file.

Abstract: A solution for training guidance is provided. A method related to the solution includes acquiring, in a training guidance apparatus, cardiovascular data representing cardiovascular measurement on a user carrying out a physical exercise, wherein the acquired cardiovascular data is real-time data measured during the physical exercise. The method further includes determining exercise guidance attributes from the cardiovascular data with respect to at least one training target of the physical exercise, selecting a video clip matching with the guidance attributes, and causing display of the video clip to the user.

Abstract: A method includes acquiring physiological exercise data from a plurality of physiological exercise sensors applied by a group of exercisers; determining a performance metric for each exerciser on the basis of the acquired physiological exercise data; detecting whether or not a predetermined common target is met on the basis of the performance metrics; and triggering an event upon detecting that the predetermined common target is met.

Abstract: A method includes determining that a portable apparatus is in an exercise mode; obtaining, by the portable apparatus when in the exercise mode, real-time exercise data of a user of the portable apparatus acquired using a sensor set having one or more sensors, and reference data related to the exercise mode; observing, when in the exercise mode, the real-time exercise data, and detecting, during the observing based on comparison of the real-time exercise data with the reference data, that at least one value of the exercise data is uncharacteristic to the exercise mode; and determining, when in the exercise mode, whether the detection of the at least one uncharacteristic value is related to an unpredicted incident, and as a response to the determining that the detection of the at least one uncharacteristic value is related to the unpredicted incident, causing an output of an emergency signal.

Abstract: There is provided an apparatus, wherein the apparatus is configured to perform operations comprising: obtaining heading information indicating a target heading to a target; detecting, during swimming, that the swimmer deviates from the target heading; and informing the swimmer, via a user interface element, that the swimmer has deviated from the target heading.

Abstract: There is provided a server computer system configured to acquire recorded exerise data of an exercise performed by an exeriser; acquire recorded location data of the exercise, wherein the location data depicts a route travlled during the exerise; acquire a map of an area which comprises the trivlled route; generate the dynamic execise presentation on the basis of the exercise data andthe location data, wherein the dynamic exercise presentation comprises: displaying the exercise data as a function of the location data on a display having the map as a background, and automatically moving a pointer on the display along the traveled route on the basis of the location data such that the moving pointer depocts the location of the exerciser on the travlled route as the exercise advances; and cause a display of the exercise presentation on the display via a network.

Abstract: This document discloses a portable system comprising a physical activity monitoring device comprising: a wireless proximity detection module configured to detect a proximity of an input control entity with respect to the physical activity monitoring device and output a control signal as a response to the detection, wherein the proximity is a non-zero distance between the input control entity and the training computer; and a user interface controller configured to generate, as a response to the control signal from the wireless proximity detection module, at least one of an audio control function and a display control function.

Abstract: A method includes determining that a portable apparatus is in an exercise mode; obtaining, by the portable apparatus when in the exercise mode, real-time exercise data of a user of the portable apparatus acquired using a sensor set having one or more sensors, and reference data related to the exercise mode; observing, when in the exercise mode, the real-time exercise data, and detecting, during the observing based on comparison of the real-time exercise data with the reference data, that at least one value of the exercise data is uncharacteristic to the exercise mode; and determining, when in the exercise mode, whether the detection of the at least one uncharacteristic value is related to an unpredicted incident, and as a response to the determining that the detection of the at least one uncharacteristic value is related to the unpredicted incident, causing an output of an emergency signal.