Adaptive gaming performance scores
An information handling system includes a memory to store data associated with metrics of an individual and gaming performance metrics, and a processor. The processor correlates the metrics of an individual with the gaming performance metrics. Based on the correlation, the processor creates a gaming performance score. The processor determines changes to implement based on the gaming performance score. When the changes are implemented, the changes improve the gaming performance score. The processor provides the changes to the individual in a non-intrusive manner.
1. An information handling system comprising:
a memory to store data associated with metrics of an individual and gaming performance metrics; and
a processor to communicate with the memory, the processor to:
correlate the metrics of the individual with the gaming performance metrics;
create a gaming performance score based on the correlation;
determine changes to implement based on the gaming performance score, wherein the changes, when implemented, improve the gaming performance score; and
automatically execute device performance changes in the information handling system to provide the changes in a non-intrusive manner; and
a machine learning system including:
an input layer to receive the data associated with the metrics of the individual and the gaming performance metrics;
one or more hidden layers to correlate the metrics of the individual with the gaming performance metrics, and create the gaming performance score based on the correlation; and
an output layer to provide the gaming performance score.
2. The information handling system of claim 1 , wherein the metrics include physiological measurement data, cognitive measurement data, environmental measurement data, and system measurement data.
3. The information handling system of claim 1 , wherein prior to the creation of the gaming performance score, the processor further to:
compare the gaming performance metrics to previous gaming performance metrics; and
in response to the gaming performance metrics being lower than the previous gaming performance metrics, determine that the gaming performance metrics need to be improved.
4. The information handling system of claim 1 , wherein based on the created gaming performance score, the processor to:
match the individual to a group of gamers for an online gaming session.
5. The information handling system of claim 1 , wherein the metrics indicate fatigue of the individual.
6. The information handling system of claim 1 , wherein the correlation further includes the hidden layers to correlate the metrics of the individual and the gaming performance metrics with historical metrics.
7. The information handling system of claim 1 , wherein the non-intrusive manner includes the processor to:
provide the change in a notification on a display screen of the information handling system after an execution of a current online game is completed.
8. A method comprising:
storing data associated with metrics of an individual and gaming performance metrics in a memory of an information handling system; and
correlating, by a processor of the information handling system, the metrics of the individual with the gaming performance metrics;
creating, by the processor, a gaming performance score based on the correlation;
determining changes to implement based on the gaming performance score, wherein the changes, when implemented, improve the gaming performance score;
automatically executing device performance changes in the information handling system to provide the changes in a non-intrusive manner;
receiving, at an input layer of a machine learning system, the data associated with the metrics of the individual and the gaming performance metrics;
correlating, by one or more hidden layers of the machine learning system, the metrics of the individual with the gaming performance metrics, and create the gaming performance score based on the correlation; and
providing, by an output layer of the machine learning system, the gaming performance score.
9. The method of claim 8 , wherein the metrics include physiological measurement data, cognitive measurement data, environmental measurement data, and system measurement data.
10. The method of claim 8 , wherein prior to the creating of the gaming performance score, the method further comprises:
comparing the gaming performance metrics to previous gaming performance metrics; and
in response to the gaming performance metrics being lower than the previous gaming performance metrics, determining that the gaming performance metrics need to be improved.
11. The method of claim 8 , wherein based on the created gaming performance score, the method further comprises:
matching the individual to a group of gamers for an online gaming session.
12. The method of claim 8 , wherein the metrics indicate fatigue of the individual.
13. The method of claim 8 , wherein the correlating further includes:
correlating the metrics of the individual and the gaming performance metrics with historical metrics.
14. The method of claim 8 , wherein the non-intrusive manner includes:
providing the change in a notification on a display screen of the information handling system after an execution of a current online game is completed.
15. A method comprising:
storing data associated with metrics of an individual and gaming performance metrics in a memory of an information handling system; and
correlating, by a processor of the information handling system, the metrics of the individual with the gaming performance metrics and with historical metrics;
creating, by the processor, a gaming performance score based on the correlation;
determining changes to implement based on the gaming performance score, wherein the changes, when implemented, improve the gaming performance score;
automatically executing device performance changes in the information handling system to provide a notification of the change on a display screen of the information handling system after an execution of a current online game is completed in a non-intrusive manner;
receiving, at an input layer of a machine learning system, the data associated with the metrics of the individual and the gaming performance metrics;
correlating, by one or more hidden layers of the machine learning system, the metrics of the individual with the gaming performance metrics, and create the gaming performance score based on the correlation; and
providing, by an output layer of the machine learning system, the gaming performance score.
16. The method of claim 15 , wherein the metrics include physiological measurement data, cognitive measurement data, environmental measurement data, and system measurement data.
17. The method of claim 15 , wherein based on the created gaming performance score, the method further comprises:
matching the individual to a group of gamers for an online gaming session.
18. The method of claim 15 , wherein prior to the creating of the gaming performance score, the method further comprises:
comparing the gaming performance metrics to previous gaming performance metrics; and
in response to the gaming performance metrics being lower than the previous gaming performance metrics, determining that the gaming performance metrics need to be improved.
19. The method of claim 15 , wherein the metrics indicate fatigue of the individual.