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- <Text>You can browse each box' documentation by selecting the box and pressing <b>F1</b></Text>
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- <Text>The preprocessing of the signal is
- performed here...
-
- <u><b>Note:</b></u> be sure that the
- <i>sampling rate</i> and <i>sample count
- per buffer</i> you use in the <u>acquisition
- server</u> are compatible with the actual
- <i>signal decimation factor</i></Text>
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- <Text><u><b><big>Overview</big></b></u>
-
- This scenario should be used to train
- the LDA classifier.
-
- Just configure the <i>Generic Stream Reader</i>
- box to point to the last file you recorded with
- scenario <i>1-acquisition</i> and fast forward
- this scenario.
-
- At the end of the training, you will have an estimation
- of the classifier performance printed in the console.
- If this performance is lower than 70%, just run a new
- <i>4-online</i> session to have better results.
-
- <u><b>Note:</b></u> in order to run this scenario,
- the spatial filter should have been trained using
- <i>2-train-xDAWN</i> !</Text>
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- <Value>Yann Renard</Value>
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- <Value></Value>
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- <Attribute>
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- <Value>http://openvibe.inria.fr/p300-speller-xdawn/</Value>
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- <Value>xDAWN P300 Speller</Value>
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- <Value>INRIA</Value>
- </Attribute>
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|