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- <OpenViBE-Scenario>
- <FormatVersion>2</FormatVersion>
- <Creator>OpenViBE Designer</Creator>
- <CreatorVersion>3.1.0</CreatorVersion>
- <Settings></Settings>
- <Inputs></Inputs>
- <Outputs></Outputs>
- <Boxes>
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- <Output>
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- <DefaultValue>${AcquisitionServer_HostName}</DefaultValue>
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- <Inputs>
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- <Name>Epoch duration (in sec)</Name>
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- <TypeIdentifier>(0x512a166f, 0x5c3ef83f)</TypeIdentifier>
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- <Inputs>
- <Input>
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- <Text>The stimulation part of the scenario is
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-
- If you keep the <i>Target Letter Generation</i>
- box, you will be able to train the algorithms
- again on the recorded data.
- </Text>
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- <Comment>
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- <Text>Switch from file reader
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- <Attribute>
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- <Comment>
- <Identifier>(0x27567f54, 0x6e00503a)</Identifier>
- <Text>You can configure the Flashing Sequence
- and the Target Letter Generation in order to
- instruct the subject to <u>spell a specific word</u>.
-
- Set the target word in the Lua Stimulator (e.g. "openvibe")
- and adapt the number of trials in the P300 Speller Stimulator
- (e.g. 8 trials for the 8 letters in "openvibe")
-
- <b><u>Note:</u></b> If the number of letter in the chosen word does not match
- the number of trial, you won't be able to train xDAWN and
- the classifier on the recorded data.</Text>
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- </Comment>
- <Comment>
- <Identifier>(0x3726b6f5, 0x3dea5d78)</Identifier>
- <Text><u><b><big>Overview</big></b></u>
-
- This scenario can be used online once the
- spatial filter and the classifiers are trained.
- The <i>Target Letter Generation</i>
- box still proposes some targets in order to
- eventually train the spatial filter / classifier
- again, but you may want to disconnect that box
- in order to have a real <i>free time</i> use of
- the speller.
-
- The flash sequence starts automatically after 20 sec.
-
- You will then be presented a blue letter that
- you have to focus on, followed by a 12 times
- flashing sequence of the whole grid. The detected
- letter will be presented in green. This will be repeated
- 10 times.
-
- If the performance of the system does not fit your
- requirements, just run <i>2-train-xDAWN</i> and <i>3-train-classifier</i>
- scenarios again on the data you just recorded.
-
- <small><i><b>note:</b> the recorded files go to the
- folder where the scenario xml is located
- (<span color="darkblue">${Player_ScenarioDirectory}/</span>).</i></small></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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- <Comment>
- <Identifier>(0x5bbc727e, 0x1572a9cd)</Identifier>
- <Text>You can browse each box' documentation by selecting the box and pressing <b>F1</b></Text>
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- <Attributes>
- <Attribute>
- <Identifier>(0x790d75b8, 0x3bb90c33)</Identifier>
- <Value>Jussi T. Lindgren</Value>
- </Attribute>
- <Attribute>
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- <Value></Value>
- </Attribute>
- <Attribute>
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- <Value>Online Use</Value>
- </Attribute>
- <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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|