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.

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 performance modeling by combining tags and sensors providing 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; determining tag location data based on the blink data; correlating a sensor to the participant; and receiving sensor derived 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 the participant location data based on comparing the tag location data and the sensor derived data to the participant dynamics/kinetics models.

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.

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 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: A method, apparatus, computer program product, and system provide for displaying analytics data based upon aggregated data corresponding to an object via an interface. The method may include receiving analytic data corresponding to at least one object characteristic. The method may also include generating at least one display element having the analytic data corresponding to the at least one object characteristic at one or more time intervals, and causing the at least one display element to be displayed in an interface. The interface may be configured to size the at least one data element within the user interface to enable the display of a plurality of display elements in the display. The interface may be further configured to receive an input corresponding to a user input.

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 monitoring the health and fitness of an individual. An example method comprises correlating a tag and a sensor to the individual, receiving tag derived data indicative of a location for the individual, and receiving sensor derived data indicative of at least one of a health, a fitness, an operation level, or a performance level for the individual. The method further comprises comparing the tag location data of the tag derived data to individual dynamics/kinetics models and comparing the sensor derived data to at least one of health models, fitness models, operation level models, or performance level models. A HFOP status is then determined for the individual based on the comparing the tag location data to individual dynamics/kinetics models and on the comparing the sensor derived data to at least one of health models, fitness models, operation level models, or performance level models.

Abstract: Provided herein are systems, methods and computer readable media for monitoring the health and fitness of an individual. An example method comprises correlating a tag and a sensor to the individual, receiving tag derived data indicative of a location for the individual, and receiving sensor derived data indicative of at least one of a health, a fitness, an operation level, or a performance level for the individual. The method further comprises associating the sensor-derived data with the location for the individual based on the location of the sensor.

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.

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: 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 performance modeling by combining tags and sensors providing 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; determining tag location data based on the blink data; correlating a sensor to the participant; and receiving sensor derived 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 the participant location data based on comparing the tag location data and the sensor derived data to the participant dynamics/kinetics models.

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 location based on participant dynamics/kinetics models. 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 determining events and outputting events based on real-time data for location and movement of objects and audio data. In one embodiment, a method is provided for a method of determining play events that at least includes receiving audio data, wherein the audio data is received from at least one of a memory or a sensor; determining an event probability based on comparing the audio data to an audio profile; and generating an event based on the event probability satisfying a predetermined threshold.

Abstract: Systems and related methods providing for determining activities of individuals are discussed herein. Circuitry may be configured to wirelessly receive tag signals from a plurality of RF location tags. Two or more of the RF location tags may be positioned on an individual, such as at positions that may at least partially define a human frame. The circuitry may be configured to correlate the two or more RF location tags with the individual. Location data for each of the two or more RF location tags may be determined based on the received tag signals. An activity of the individual may be determined based on the location data. In some embodiments, one or more activities involving multiple individuals may be determined based on RF location tags and sensors positioned on each of the multiple individuals. Furthermore, sensor data from the sensors may be communicated over the UWB channel.

Abstract: Provided herein are systems, methods and computer readable media for monitoring the health and fitness of an individual. An example method comprises correlating a tag to the individual and receiving tag derived data indicative of a location for the individual, or correlating a sensor to the individual and receiving sensor derived data indicative of at least one of a health, a fitness, an operation level, or a performance level for the individual. The method further comprises comparing the tag location data of the tag derived data to individual dynamics/kinetics models and/or comparing the sensor derived data to at least one of health models, fitness models, operation level models, or performance level models. A HFOP status is then determined for the individual based on the comparing the tag location data to individual dynamics/kinetics models and/or on the comparing the sensor derived data to at least one of health models, fitness models, operation level models, or performance level models.

Abstract: Systems, methods, apparatuses, and computer readable media are disclosed for improving, in some examples, registration of radio frequency tags with a location system. Example embodiments may include a method for registering a participant with a radio frequency (RF) location tag. The method may include determining tag derived data from the one or more registered RF location tags, identifying at least one unregistered RF location tag, determining an identity of a participant for registration with the unregistered RF location tag based at least in part on the tag derived data from the one or more registered RF location tags, and registering the unregistered RF location tag with the participant.

Abstract: Various methods for wireless signal storage with signal recognition detection triggering are provided. One method may include receiving a plurality of wireless signals via a plurality of frequency channels, storing representations of the plurality of wireless signals in a signal buffer, and receiving a trigger request for a signal of interest. In this regard, the trigger request may have been generated based on an analysis of at least one wireless signal within the plurality of wireless signals to thereby identify the signal of interest. The method may also include retrieving a representation of the signal of interest from the signal buffer based on the trigger request, and analyzing the retrieved representation of the signal of interest with associated signal characteristics to determine a location of a source of the signal of interest. Similar apparatuses and computer program products are also provided.