Update information box

1 files changed, 20 insertions, 17 deletions

diff --git a/openvibe-scenarios/free-will-bci-2-classifier-trainer.xml b/openvibe-scenarios/free-will-bci-2-classifier-trainer.xml
index 233a30e..b665bb8 100644
--- a/openvibe-scenarios/free-will-bci-2-classifier-trainer.xml
+++ b/openvibe-scenarios/free-will-bci-2-classifier-trainer.xml
@@ -91,7 +91,7 @@
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 					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
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@@ -99,7 +99,7 @@
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 					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
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@@ -126,10 +126,6 @@
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 					<Value>false</Value>
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@@ -259,7 +255,7 @@
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 					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
-					<Value>96.000000</Value>
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 					<Identifier>(0x1fa963f5, 0x1a638cd4)</Identifier>
@@ -267,7 +263,7 @@
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 					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
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@@ -577,19 +573,19 @@
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 		</Link>
@@ -601,15 +597,22 @@
 			<Text>&lt;u&gt;&lt;b&gt;&lt;big&gt;Overview&lt;/big&gt;&lt;/b&gt;&lt;/u&gt;
 
 This scenario is used to train data for the &quot;free will experiment&quot;.
+See the python scripts for a deeper look into the code.
+
 Main Python script settings are:
-	signals (csv)
-	keyboard stimulations (csv)
-	output file (python pickle) - trained (e.g. ./python-out-[$core{date}-$core{time}].pkl)
-	</Text>
+	&lt;b&gt;Script&lt;/b&gt; - python script for learning and other ML methods
+	&lt;b&gt;InputCSVSignal&lt;/b&gt; - captured EEG signal
+	&lt;b&gt;InputCSVStimulation&lt;/b&gt; - captured keyboard times
+	&lt;b&gt;SaveFile&lt;/b&gt; - if you want to save learning hypotesis into a (python pickle) file (e.g. ./python-out-[$core{date}-$core{time}].pkl)
+	&lt;b&gt;WindowSize (ms)&lt;/b&gt; - size of windows/chunks in milliseconds
+	&lt;b&gt;NumberOfPrevWindows&lt;/b&gt; - number of windows, to be marked as class 1 (just before the button was pressed)
+	&lt;b&gt;NumberOfWindowsBefore&lt;/b&gt; - number of windows, to be marked as class 0 (before those marked as 1)
+	&lt;b&gt;NumberOfWindowsAfter&lt;/b&gt; - number of windows, to be marked as class 0 (after those marked as 1)
+	&lt;b&gt;K-folds&lt;/b&gt; - K-fold cross validation</Text>
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