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PostPosted: Sat Oct 21, 2017 4:02 am 

Joined: Tue Apr 11, 2017 10:44 am
Posts: 21
in the motor imagery csp scenario provided we want to detect right or left hand imagiation using the algorithm. shouldn't it use a 3 class classification since there are 3 states : imagining right hand movement, imagining left hand movement and also imagining nothing.

wouldn't this make the scenario work inaccurately?


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PostPosted: Mon Oct 23, 2017 7:38 am 

Joined: Tue Dec 04, 2012 3:53 pm
Posts: 648
Location: INRIA Rennes, FRANCE

some research papers use an additional 'nothing' class, some do not. The Graz paradigm in openvibe is defined as two class; since during training and testing it is *assumed* that the user is a good boy/girl/person and obediently imagines of only left or right (as instructed) during the trial, this limited context is not requiring a third class. From real use perspective (for example controlling something), a third class of nothing could be useful. Adding a third class will also change the classification problem in a machine learning sense. How it will change it is doubtlessly a research question in itself. If anybody knows related links, feel free to post. :)


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