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, 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, 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 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:
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:
An example disclosed method for registering an unregistered radio frequency (RF) location tag carried by a participant includes receiving blink data from an unregistered RF location tag; determining a tag location based on the blink data received from the unregistered RF location tag; directing a camera to view the tag location determined based on the blink data received from the unregistered RF location tag; identifying a participant at the tag location using image data obtained by the camera; and registering the unregistered RF location tag with the identified participant.
Abstract:
An example disclosed method for registering an unregistered radio frequency (RF) location tag carried by a participant includes receiving blink data from an unregistered RF location tag; determining a tag location based on the blink data received from the unregistered RF location tag; directing a camera to view the tag location determined based on the blink data received from the unregistered RF location tag; identifying a participant at the tag location using image data obtained by the camera; and registering the unregistered RF location tag with the identified participant.
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 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:
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.