Abstract: A method for generating recommendations for achieving goals is described. The method includes receiving a goal for a user account. The goal is associated with an activity that is trackable via a monitoring device. The method further includes receiving tracking data associated with the monitoring device. At least part of the tracking data is associated to the activity. The method includes receiving geo-location data associated with the monitoring device. The geo-location data is correlated to the tracking data. The method includes analyzing the received tracking data and geo-location data to characterize a current performance metric for the activity and generating a recommendation for the user account. The recommendation identifies the current performance metric and a suggested action and location for increasing the current performance metric to achieve the goal.

Abstract: A computer-implemented method is described. The computer-implemented method is used for populating data of a graphical user interface (GUI). The computer-implemented method includes generating one or more graphical elements of one or more activities captured by a monitoring device. The monitoring device is usable by a user during the capturing. The method further includes generating a timeline including a time period over which the activities are performed. The timeline includes a chronological order of time within the time period. The method further includes generating an activity symbol for one or more of the activities performed during the time period. The activity symbol has an image that is graphically overlaid on the graphical elements of the activities.

Abstract: A method for generating recommendations for achieving goals is described. The method includes receiving a goal for a user account. The goal is associated with an activity that is trackable via a monitoring device. The method further includes receiving tracking data associated with the monitoring device. At least part of the tracking data is associated to the activity. The method includes receiving geo-location data associated with the monitoring device. The geo-location data is correlated to the tracking data. The method includes analyzing the received tracking data and geo-location data to characterize a current performance metric for the activity and generating a recommendation for the user account. The recommendation identifies the current performance metric and a suggested action and location for increasing the current performance metric to achieve the goal.

Abstract: A computer-implemented method is described. The computer-implemented method is used for populating data of a graphical user interface (GUI). The computer-implemented method includes generating one or more graphical elements of one or more activities captured by a monitoring device. The monitoring device is usable by a user during the capturing. The method further includes generating a timeline including a time period over which the activities are performed. The timeline includes a chronological order of time within the time period. The method further includes generating an activity symbol for one or more of the activities performed during the time period. The activity symbol has an image that is graphically overlaid on the graphical elements of the activities.

Abstract: A method includes receiving geo-location data collected over time period. The geo-location data is associated with a monitoring device. The method further includes receiving motion tracking data of the monitoring device. The motion tracking data is collected over time period. The method includes identifying one or more activities. The activities are identified based on inference rules that identify certain activities to have occurred when at least part of the motion tracking data is correlated to the received geo-location data. The method further includes defining a metric for one or more of the identified activities. The metric is associated to a calendar date. The method includes sending the metric to a calendar application with integration instructions. The integration instructions define the calendar date to which the metric will be added.

Abstract: A method includes obtaining a first geo-location and a second geo-location. The first and second geo-locations are associated with a monitoring device. The monitoring device is configured to be used by a user. The first geo-location is determined at a first time and the second geo-location is determined at a second time. The first time and the second time are associated with a rate of obtaining geo-location data. The method includes calculating a difference in distance between the second and first geo-locations and changing the rate of obtaining a third geo-location associated with the monitoring device based on the difference in distance between the second and first geo-locations.

Abstract: Systems and methods for segmenting a period of time into identification of locations of a user who performs activities are described. One of the methods includes detecting activity of a monitoring device worn by the user. The activity includes an amount of movement of the monitoring device. The activity is performed for a period of time. The method further includes obtaining geo-location data for the monitoring device and storing, during the period of time, the detected activity and corresponding geo-location data. The method also includes analyzing the detected activity and the corresponding geo-location data to identify one or more events. Each event is associated with a group of activity data and one or more of the groups of activity data is associated with an identifier, which is obtained using the geo-location data.

Abstract: A method includes receiving activity of a monitoring device that is configured to be worn by a user having a user account. The activity includes an amount of movement of the monitoring device and occurs for a period of time. The method further includes receiving geo-location data for the monitoring device and processing the activity data and geo-location data received for the period of time. The operation of processing is performed to segment the period of time into at least two events. The method includes assigning an identifier to each event. The identifier has a default description for the geo-location data. The default description is selected from a plurality of descriptions based on the activity data obtained by the movement of the monitoring device for the geo-location data.

Abstract: A method includes obtaining a first geo-location and a second geo-location. The first and second geo-locations are associated with a monitoring device. The monitoring device is configured to be used by a user. The first geo-location is determined at a first time and the second geo-location is determined at a second time. The first time and the second time are associated with a rate of obtaining geo-location data. The method includes calculating a difference in distance between the second and first geo-locations and changing the rate of obtaining a third geo-location associated with the monitoring device based on the difference in distance between the second and first geo-locations.

Abstract: Systems and methods for segmenting a period of time into identification of locations of a user who performs activities are described. One of the methods includes detecting activity of a monitoring device worn by the user. The activity includes an amount of movement of the monitoring device. The activity is performed for a period of time. The method further includes obtaining geo-location data for the monitoring device and storing, during the period of time, the detected activity and corresponding geo-location data. The method also includes analyzing the detected activity and the corresponding geo-location data to identify one or more events. Each event is associated with a group of activity data and one or more of the groups of activity data is associated with an identifier, which is obtained using the geo-location data.

Abstract: A method includes receiving activity of a monitoring device that is configured to be worn by a user having a user account. The activity includes an amount of movement of the monitoring device and occurs for a period of time. The method further includes receiving geo-location data for the monitoring device and processing the activity data and geo-location data received for the period of time. The operation of processing is performed to segment the period of time into at least two events. The method includes assigning an identifier to each event. The identifier has a default description for the geo-location data. The default description is selected from a plurality of descriptions based on the activity data obtained by the movement of the monitoring device for the geo-location data.

Abstract: A method includes receiving location data of a monitoring device when carried by a user and receiving motion data of the monitoring device. The motion data is associated with a time of occurrence and the location data. The method includes processing the received motion data to identify a group of the motion data having a substantially common characteristic and processing the location data for the group of the motion data. The group of motion data by way of processing the location data provides an activity identifier. The motion data includes metric data that identifies characteristics of the motion data. The method includes transferring the activity identifier and the characteristics of the motion data to a screen of a device for display. The activity identifier being a graphical user interface that receives an input for rendering more or less of the characteristics of the motion data.

Abstract: A method includes receiving location data of a monitoring device when carried by a user and receiving motion data of the monitoring device. The motion data is associated with a time of occurrence and the location data. The method includes processing the received motion data to identify a group of the motion data having a substantially common characteristic and processing the location data for the group of the motion data. The group of motion data by way of processing the location data provides an activity identifier. The motion data includes metric data that identifies characteristics of the motion data. The method includes transferring the activity identifier and the characteristics of the motion data to a screen of a device for display. The activity identifier being a graphical user interface that receives an input for rendering more or less of the characteristics of the motion data.

Abstract: A method includes obtaining a first geo-location and a second geo-location. The first and second geo-locations are associated with a monitoring device. The monitoring device is configured to be used by a user. The first geo-location is determined at a first time and the second geo-location is determined at a second time. The first time and the second time are associated with a rate of obtaining geo-location data. The method includes calculating a difference in distance between the second and first geo-locations and changing the rate of obtaining a third geo-location associated with the monitoring device based on the difference in distance between the second and first geo-locations.

Abstract: A method includes receiving location data of a monitoring device when carried by a user and receiving motion data of the monitoring device. The motion data is associated with a time of occurrence and the location data. The method includes processing the received motion data to identify a group of the motion data having a substantially common characteristic and processing the location data for the group of the motion data. The group of motion data by way of processing the location data provides an activity identifier. The motion data includes metric data that identifies characteristics of the motion data. The method includes transferring the activity identifier and the characteristics of the motion data to a screen of a device for display. The activity identifier being a graphical user interface that receives an input for rendering more or less of the characteristics of the motion data.

Abstract: A method includes determining a location of a first monitoring device used while performing an activity. The first monitoring device is worn by a first user. The method includes determining a location of a second monitoring device used while performing an activity. The second monitoring device is worn by a second user. The method further includes determining whether the locations of the first and second monitoring devices are within a range and whether the activities are similar. The method includes sending a prompt to the first monitoring device upon determining that the activities are similar and the locations are within the range. The prompt includes a request for permission from a first user account to allow a second user account to access information from the first user account regarding the activity performed using the first monitoring device.

Abstract: A method includes receiving activity of a monitoring device that is configured to be worn by a user having a user account. The activity includes an amount of movement of the monitoring device and occurs for a period of time. The method further includes receiving geo-location data for the monitoring device and processing the activity data and geo-location data received for the period of time. The operation of processing is performed to segment the period of time into at least two events. The method includes assigning an identifier to each event. The identifier has a default description for the geo-location data. The default description is selected from a plurality of descriptions based on the activity data obtained by the movement of the monitoring device for the geo-location data.

Abstract: Systems and methods for segmenting a period of time into identification of locations of a user who performs activities are described. One of the methods includes detecting activity of a monitoring device worn by the user. The activity includes an amount of movement of the monitoring device. The activity is performed for a period of time. The method further includes obtaining geo-location data for the monitoring device and storing, during the period of time, the detected activity and corresponding geo-location data. The method also includes analyzing the detected activity and the corresponding geo-location data to identify one or more events. Each event is associated with a group of activity data and one or more of the groups of activity data is associated with an identifier, which is obtained using the geo-location data.

Abstract: A method includes determining a location of a first monitoring device used while performing an activity. The first monitoring device is worn by a first user. The method includes determining a location of a second monitoring device used while performing an activity. The second monitoring device is worn by a second user. The method further includes determining whether the locations of the first and second monitoring devices are within a range and whether the activities are similar. The method includes sending a prompt to the first monitoring device upon determining that the activities are similar and the locations are within the range. The prompt includes a request for permission from a first user account to allow a second user account to access information from the first user account regarding the activity performed using the first monitoring device.

Abstract: A method includes receiving geo-location data collected over time period. The geo-location data is associated with a monitoring device. The method further includes receiving motion tracking data of the monitoring device. The motion tracking data is collected over time period. The method includes identifying one or more activities. The activities are identified based on inference rules that identify certain activities to have occurred when at least part of the motion tracking data is correlated to the received geo-location data. The method further includes defining a metric for one or more of the identified activities. The metric is associated to a calendar date. The method includes sending the metric to a calendar application with integration instructions. The integration instructions define the calendar date to which the metric will be added.