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MADDCOGGame your best
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When to COMPETETommy plays Apex Legends every night and is focused on improving his online ranking.
Between each round he reviews his MaddCog metrics. When his Power is below 30 he stops playing or switches to unranked play, as he knows he is tired and will play poorly. Tommy is now playing at a higher level, avoiding poor games, and having more fun as his ranking increases. |
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PERFORMANCE METRICS
Know when to compete
A quick of review of metrics between matches informs the gamer if they should continue to play, or if their performance is low and they are risking their online ranking.
A quick of review of metrics between matches informs the gamer if they should continue to play, or if their performance is low and they are risking their online ranking.
PowerCapacity to Perform
Available mental energy. Power decreases as mental fatigue increases, resulting in reduced performance. |
FocusTargeted Concentration
Level of concentration currently dedicated to the game. Low Focus increases the risk of making an error. |
AwarenessBroad Vision
Lack of Awareness results in poorer performance due to an inability to fully assess game activity. |
PressureMental Load
A combination of mental workload and stress levels. Champions thrive in pressure situations while others crumble. |
PerformanceOverall Performance Level
Estimates overall mental performance by combining Power, Focus and Awareness. |
THE MADDCOG ENGINE
MaddCog brings science backed performance to gamers with patent pending algorithms that combine EEG (brain wave patterns), heart rate variability (HRV) and machine learning techniques.
We help gamers perform at their best with science-supported confidence. By quantifying cognitive performance, MaddCog provides real time feedback on performance levels, error risk and cognitive power.
MaddCog’s patent pending algorithms use machine learning models which adapt to the user’s personal profile.
We help gamers perform at their best with science-supported confidence. By quantifying cognitive performance, MaddCog provides real time feedback on performance levels, error risk and cognitive power.
MaddCog’s patent pending algorithms use machine learning models which adapt to the user’s personal profile.
HARDWARE & SOFTWARE
SENSOR MODULEMaddCog’s algorithms can be adapted to any EEG and heart rate monitor combination. We can also assist with sensor selection, testing and development.
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APPMetrics are tracked in the accompanying app providing live feedback, detailed analysis, and a full history. The MaddCog ‘library’ is availabe on Android and iOS.
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