Abstract:
Systems, methods, apparatuses, and computer program products are disclosed for providing analytics including participant statistical data or game status data. In one embodiment, a method is provided for transmitting participant data relating to one or more participants that are available in a fantasy game, the fantasy game is at least partially related to a players performance in a sporting event; receiving a selected participant data indication from at least one user, the selected participant data indication provides selection of at least one participant from the participant data; generating a participant data update for one or more participants based on the selected participant data indication; the participant data is defined by a time period comprising an event and is calculated based on blink data transmitted from a location tag mounted to the participant; and transmitting the participant data update, the participant data update is viewable via a user interface.
Abstract:
A method, apparatus and computer program product are provided for collecting sporting event data based on real time data for proximity and movement of objects. In the context of a method, the method includes calculating a tag data filter parameter for a plurality of tag events based on received tag blink data and tag location data, wherein the tag data filter parameter comprises a blink period, distance span, or velocity, calculating a participant location data adjustment factor based on the tag data filter parameter, and calculating multidimensional player location information per unit time based on the plurality of tag events and the participant location adjustment factor.
Abstract:
Systems, methods, apparatuses, and computer readable media are disclosed for providing analytics using real time data on movement and proximity of tagged objects for determining play models and outputting events. In one embodiment, a method is provided for determining play data that at least includes correlating at least one tag to a participant; receiving blink data transmitted by the at least one tag; and determining tag location data based on the blink data. The method further includes receiving participant role data; comparing the tag location data to participant dynamics/kinetics models based at least in part on the participant role data; determining participant location data based on the comparing the tag location data to the participant dynamics/kinetics models. The method further includes receiving field data; comparing the participant location data to formation models based at least in part on the participant role data and the field data; and determining formation data based on the comparing the participant location data to the formation models. The method further includes comparing the formation data and participant location data to play models; and determining play data based on the comparing the formation data and participant location data to the play models.
Abstract:
Systems, methods, apparatuses, and computer readable media are disclosed for providing performance analytics for determining role, formation, and play data using real time data on movement and proximity of tagged objects. In one embodiment, a method is provided for generating formation data that at least includes receiving participant location data determined based on tag derived data and participant role data; receiving field data; comparing the participant location data to formation models based at least in part on the participant location data, the participant role data, and the field data; and determining formation data based on the comparing the participant location data to the formation models.
Abstract:
Provided herein are systems, methods and computer readable media for assessing the health, fitness, operation, or performance of an individual. An example method comprises selecting an individual dynamics/kinetics model from a database and comparing it to tag location data. Another example method comprises selecting a health, fitness, operation and performance (HFOP) model from a database and comparing it to the sensor-derived data.
Abstract:
Systems, methods, apparatuses, and computer readable media are disclosed for providing analytics for evaluating performance using real time data on movement and proximity of tagged objects. In one embodiment, a method is provided for evaluating a player that includes correlating at least one tag to the player; receiving blink data transmitted by the at least one tag; and determining tag location data based on the blink data. The method further includes receiving player role data; comparing the tag location data to player dynamics/kinetics models based at least in part on the player role data; determining player location data based on the comparing the tag location data to the player dynamics/kinetics models; and determining player performance information based on comparing the player location data to stored player location data.
Abstract:
Systems, methods, apparatuses, and computer readable media are disclosed for providing performance analytics using dynamics/kinetics models based on role data or weather data and real time data on movement and proximity of tagged objects. In one embodiment, a method is provided for monitoring a participant that at least includes correlating at least one tag to the participant; receiving blink data transmitted by the at least one tag; and determining tag location data based on the blink data. The method further includes receiving participant role data; comparing the tag location data to participant dynamics/kinetics models based at least in part on the participant role data; and determining participant location data based on the comparing the tag location data to the participant dynamics/kinetics models.
Abstract:
Systems, methods, apparatuses, and computer readable media are disclosed for improving, in some examples, real time location systems with multiple location technologies. In one embodiment, a method is provided including receiving blink data from a location tag associated with a first sensor; receiving proximity data generated based on communications between the first sensor and a second sensor, the proximity data including a sensor identifier; calculating location data associated with the location tag based on the blink data; and determining sensor position calculation data associated with the first sensor based on the proximity data.