Tracking and monitoring athletic activity offers individuals with additional motivation to continue such behavior. An individual may track his or her athletic activity by completing goals. These goals may be represented by real-world objects such as food items, landmarks, buildings, statues, other physical structures, toys and the like. Each object may correspond to an athletic activity goal and require an amount of athletic activity to complete the goal. For example, a donut goal object may correspond to an athletic activity goal of burning 350 calories. The user may progress from goal object to goal object. Goal objects may increase in difficulty (e.g., amount of athletic activity required) and might only be available for selection upon completing an immediately previous goal object, a number of goal objects, an amount of athletic activity and the like.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

The present invention provides a method and a system for for facilitating rewarding individuals based on fitness challenges. The method and system include steps of receiving user data, analyzing the user data to generate a user account; transmitting a plurality of active fitness challenges to the at least one user device, receiving a selection; receiving a payment corresponding to the selection; receiving user activity data and personal body data; analyzing the user activity data and personal body data to generate a normalized active score; processing the normalized active score based on at least one machine learning algorithm; validating the normalized active score; generating valid normalized active score associated with the at least one user; generating a score card; generating a reward; transmitting the reward to at least winner device; and storing the reward, the user data, the valid normalized active score, the selection, the personal body data, the user activity data, and the payment.

An electronic device and method for data-driven assistance for users involved in physical activities is provided. The electronic device receives first sensor data associated with a movement pattern of one or more parts of a body of a user and receives first information associated with a location where the user performs the physical activity. The electronic device determines one or more first indicators which are likely to have affected the user or the performance of the user in the physical activity. Thereafter, the electronic device generates presentation data based on an application of a first machine learning model on the determined one or more first indicators and the received first information. The generated presentation data includes one or more improvement suggestions for the user in relation to the physical activity. The electronic device controls a display device to display the presentation data.

Examples are disclosed that relate to methods, computing devices, and systems for determining a user's readiness for an operational task. One example provides a method comprising, during a training phase, receiving training input data including, for each user training session, a training data pair including, as input, a distance of travel, a mode of travel, and one or more environmental conditions, and as ground truth output, a time elapsed for performance of the training task. An artificial intelligence (AI) performance model is trained to model user performance of the training task based on the training data pairs. During a run-time phase, operational input data is received that is associated with an operational task performed by the user. The performance model is used to infer a predicted time elapsed for performance of the operational task.

A system includes a minimally intrusive display system (MIDS) configured to be disposed on an eyewear. The MIDS includes a display system and a sensor system configured to provide for a sensor data. The MIDS further includes a processor configured to process the sensor data to derive a physiological measure. The processor is further configured to display, via the display system, the physiological measure, wherein the display system is disposed in the eyewear so that the physiological measure is only viewed when a user of the eyewear turns the user's pupil towards the display system at angle α from a forward direction.

Computing device enhanced training environment system comprising a computing device, I/O subsystem for permitting a user to enter at least one attribute of the training or of the trainee, a plurality of sensors for generating sensory information, a training environment in which a training activity takes place, a database containing training related information. The computing device enhanced training environment system configured for at least one of the following: design a training program for a plurality of users, monitor training program performance, monitor training performance, instruct a user about the training, determine and/or set difficulty level in training apparatus.

A processing system including at least one processor may obtain at least one video of a first competitor along a competition route in a physical environment, obtain data characterizing at least one condition along the competition route as experienced by the first competitor, present visual data associated with the at least one video to a second competitor via a display device, and control at least one setting of at least one device associated with the second competitor to simulate the at least one condition, wherein the at least one device is distinct from the display device.

Various embodiments of the present disclosure provide a method and an apparatus for providing personal coach for user's exercise in an electronic device. According to various embodiments of the present disclosure, an electronic device may include sensor circuitry and a processor, wherein the processor may be configured to determine at least one activity information which satisfies a designated condition among one or more activity information previously obtained in relation to a user motion, to determine a first exercise intensity for the user, based at least on variation of the at least one activity information over time, to determine a second exercise intensity by adjusting the first exercise intensity, based at least on a previous target of exercise of the user, and to provide guide information associated with the second exercise intensity. Various embodiments are feasible.