4mi-online.xml

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			<Text>Then comes the &lt;u&gt;feature extraction part&lt;/u&gt;.

The signal is filtered in a large alpha/beta [8 30] Hz range.
The filtered signal is then splitted in blocks of 1 second
every 16th second and the logarithmic band power is
computed thanks to the two &lt;i&gt;Simple DSP&lt;/i&gt; and
the &lt;i&gt;Signal Average&lt;/i&gt; boxes.

The matrices can then be converted in feature vectors.

&lt;small&gt;&lt;i&gt;&lt;b&gt;note:&lt;/b&gt; depending on what frequency range
reacts best for the subject, you may have to tune
this part of the scenario&lt;/i&gt;&lt;/small&gt;

&lt;small&gt;&lt;i&gt;&lt;b&gt;note:&lt;/b&gt; whatever change you do on this
scenario, don't forget to do the same on the
classifier trainer scenario&lt;/i&gt;&lt;/small&gt;</Text>
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		</Comment>
		<Comment>
			<Identifier>(0x322d63e9, 0x08221edb)</Identifier>
			<Text>&lt;u&gt;&lt;b&gt;&lt;big&gt;Overview&lt;/big&gt;&lt;/b&gt;&lt;/u&gt;

This scenario can be used online once the
CSP spatial filter and the classifier is trained.

&lt;small&gt;&lt;i&gt;&lt;b&gt;note:&lt;/b&gt; the recorded files go to the
folder where the scenario xml is located
(&lt;span color="darkblue"&gt;${Player_ScenarioDirectory}/&lt;/span&gt;).&lt;/i&gt;&lt;/small&gt;</Text>
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		<Comment>
			<Identifier>(0x58e1b3e5, 0x57269422)</Identifier>
			<Text>Finally, the feature vectors are classifier with an LDA
classifier. Note that the state vector of the classifier
(which in the case of the LDA is the distance to the
separation plane) is sent to the &lt;i&gt;&lt;b&gt;Graz Visualization&lt;/b&gt;&lt;/i&gt;
box for feedback !

In order to display correct feedback,
the &lt;i&gt;&lt;b&gt;Graz Visualization&lt;/b&gt;&lt;/i&gt; box expects a negative
value for one class and a positive value for the other
class. 
</Text>
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		<Comment>
			<Identifier>(0x651859f7, 0x3bdcf9ff)</Identifier>
			<Text>The &lt;b&gt;CSP spatial filter&lt;/b&gt; produced in the previous
scenario is used prior to the feature extraction.</Text>
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