In one embodiment, a method includes receiving, from one or more sensors, biomechanical data of a first user performing a plurality of actions of a first action-type and outcome data of a plurality of outcomes corresponding to the respective plurality of actions. A plurality of sets of action-parameter values may be determined based on the received biomechanical data, where each of the sets of action-parameter values corresponds to a respective action of the plurality of actions. An athletic-performance model of the first user may be generated based on the plurality of sets of action-parameter values. The athletic-performance model may be a statistical model including probabilities computed with respect to the sets of action-parameter values and the outcome data.

In one embodiment, a method includes accessing an athletic-performance model of a first user, where the model is based on a plurality of sets of action-parameter values of action parameters of the first user. The action-parameter values may be determined based on biomechanical data of the first user performing a plurality of actions of a first action-type and outcome data of each action. A current skill level of the first user may be determined based on a measure of variances associated with action parameters of the first action-type. Target ranges of action-parameter values may be calculated for action parameters based on the athletic-performance model. Each target range may be based on a measure of probability with respect to the particular action parameters and the outcome data. A report of athletic-performance feedback may be generated and may include current skill level information and the target ranges of action-parameter values.

A system and a method determine an activity of a user. Sensor data is collected from a sensor within a pod worn by the user. The sensor data is matched to a signature definition corresponding to a known activity and the sensor. When the sensor data matches the signature definition, the activity of the user is determined. Sensed data, signature data, and/or matched signature data may be communicated to and from external devices. Signatures may be learned for known activities.

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. In one example, an athletic monitoring device may include or be associated with multiple types of movement sensors and switch between the sensors or use both depending on various factors including type of workout. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment used and the like. In one or more examples, the parameters may be automatically determined based on location. User workouts and accomplishments may also be celebrated through messages from celebrities, family, friends and other users. In some cases, the messages may be triggered by various conditions. Coaching may also be provided to the user to help improve workouts and overall athletic performance. Running routes may also be automatically tracked, stored and shared.

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. In one example, an athletic monitoring device may include or be associated with multiple types of movement sensors and switch between the sensors or use both depending on various factors including type of workout. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment used and the like. In one or more examples, the parameters may be automatically determined based on location. User workouts and accomplishments may also be celebrated through messages from celebrities, family, friends and other users. In some cases, the messages may be triggered by various conditions. Coaching may also be provided to the user to help improve workouts and overall athletic performance. Running routes may also be automatically tracked, stored and shared.

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. In one example, an athletic monitoring device may include or be associated with multiple types of movement sensors and switch between the sensors or use both depending on various factors including type of workout. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment used and the like. In one or more examples, the parameters may be automatically determined based on location. User workouts and accomplishments may also be celebrated through messages from celebrities, family, friends and other users. In some cases, the messages may be triggered by various conditions. Coaching may also be provided to the user to help improve workouts and overall athletic performance. Running routes may also be automatically tracked, stored and shared.

Adjusting settings of an exercise machine is provided. Data is received from a set of monitoring devices at a workstation. Software applications currently executing on the workstation are monitored. A signal is sent to a control module of the exercise machine adjusting one or more settings of the exercise machine based on changes in the software applications currently executing on the workstation.

Balance measurement systems and methods thereof include at least one measurement device or indicator and an unstable or dynamic device or surface or other balance device. In example forms, the at least one measurement device is generally removably mounted to a portion of the body of a user (and/or to a portion of the balance device) such that the movements and body behavior of a user (and/or the balance device) can be measured as the user attempts to balance on the balance device. According to one example form, the unstable device includes a suspended rope or slackline. According to other example forms, the balance device includes a generally unstable platform.

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. In one example, an athletic monitoring device may include or be associated with multiple types of movement sensors and switch between the sensors or use both depending on various factors including type of workout. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment used and the like. In one or more examples, the parameters may be automatically determined based on location. User workouts and accomplishments may also be celebrated through messages from celebrities, family, friends and other users. In some cases, the messages may be triggered by various conditions. Coaching may also be provided to the user to help improve workouts and overall athletic performance. Running routes may also be automatically tracked, stored and shared.

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. In one example, an athletic monitoring device may include or be associated with multiple types of movement sensors and switch between the sensors or use both depending on various factors including type of workout. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment used and the like. In one or more examples, the parameters may be automatically determined based on location. User workouts and accomplishments may also be celebrated through messages from celebrities, family, friends and other users. In some cases, the messages may be triggered by various conditions. Coaching may also be provided to the user to help improve workouts and overall athletic performance. Running routes may also be automatically tracked, stored and shared.