Abstract: Head impact event evaluation systems and methods. A system and computer implemented method for event detection includes collecting sensor data transmitted from one or more sensor devices being attached to one or more users. The sensors transmit data when an event results in sensor data above a threshold value. At least one force is determined based on the collected sensor data. At least one force vector is determined based on a location of one or more sensors associated with the sensor devices and the determined at least one of the linear or rotational force. At least a portion of a human form is displayed with the determined force vector based on the determined at least on force vector on a display.

Abstract: Head impact event evaluation systems and methods. A system and computer implemented method for event detection includes collecting sensor data transmitted from one or more sensor devices being attached to one or more users. The sensors transmit data when an event results in sensor data above a threshold value. At least one force is determined based on the collected sensor data. At least one force vector is determined based on a location of one or more sensors associated with the sensor devices and the determined at least one of the linear or rotational force. At least a portion of a human form is displayed with the determined force vector based on the determined at least on force vector on a display.

Abstract: Systems and methods for head impact injury prediction. A computer implemented method is provided for event based injury predictions. The computer implemented method receives an indication of sensor data related to an impact of a user. The received sensor data is compared to previously stored sensor data in a data store. Each instance of the previously stored sensor data is associated with a medical diagnosis. If the received sensor data matches any of the previously stored sensor data based on the comparison, then an injury risk indicator is generated based on at least one of the medical diagnosis associated with the matching previously stored sensor data or an impact history of the user. The generated indicator is presented.

Abstract: Head impact event evaluation systems and methods. A system and computer implemented method for event detection includes collecting sensor data transmitted from one or more sensor devices being attached to one or more users. The sensors transmit data when an event results in sensor data above a threshold value. At least one force is determined based on the collected sensor data. At least one force vector is determined based on a location of one or more sensors associated with the sensor devices and the determined at least one of the linear or rotational force. At least a portion of a human form is displayed with the determined force vector based on the determined at least on force vector on a display.

Abstract: Head impact event evaluation systems and methods. A system and computer implemented method for event detection includes collecting sensor data transmitted from one or more sensor devices being attached to one or more users. The sensors transmit data when an event results in sensor data above a threshold value. At least one force is determined based on the collected sensor data. At least one force vector is determined based on a location of one or more sensors associated with the sensor devices and the determined at least one of the linear or rotational force. At least a portion of a human form is displayed with the determined force vector based on the determined at least on force vector on a display.

Abstract: Systems and methods for head impact injury prediction. A computer implemented method is provided for event based injury predictions. The computer implemented method receives an indication of sensor data related to an impact of a user. The received sensor data is compared to previously stored sensor data in a data store. Each instance of the previously stored sensor data is associated with a medical diagnosis. If the received sensor data matches any of the previously stored sensor data based on the comparison, then an injury risk indicator is generated based on at least one of the medical diagnosis associated with the matching previously stored sensor data or an impact history of the user. The generated indicator is presented.