Non-Negative Matrix Factorization used for experimental hands free gaming

As an avid fan of video games, I tried to see if I could find something a video game related applications to certain topics covered in class.  I came upon a paper, which uses various forms of computational methods to try to record Electroencephalographic (the measurement of electrical activity produced by the brain as recorded from electrodes placed on the scalp).  To do this they had many test subjects do various mental activities do try to record the data.  One activity was that they were told to play this game, but just by thinking.  They were told they could play the game (which was really just running automatically) by just thinking.  After they recorded their data, they used Non-Negative Matrix Factorization (which they go into much more detail in the article) as well as other methods to extract their data into more readable and efficient data.  At the end of the paper they say that this certain method was the best for making the data most efficient.  In this area of research, gathering efficient data from brain activity has a wide variety of uses.  Maybe soon they will develop a method for hands free gaming, so a person can further immerse themselves in the game (which would be sweet).  I always thought factoring matrices was brutal and boring, but now that it has some prospectively awesome implementations, it’s only half brutal (jokes).  Source: http://ieeexplore.ieee.org/iel5/10755/33900/01617052.pdf?arnumber=1617052

 

 

 

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