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master
Tobias Baumann 2 years ago
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scenarios/p300-tactile-0-signal-monitoring.xml View File

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<Text>&lt;u&gt;&lt;b&gt;&lt;big&gt;Scenario Overview&lt;/big&gt;&lt;/b&gt;&lt;/u&gt;
This scenario can be used in order
to check the quality of the signals
before starting an experiment.
One should &lt;u&gt;definitely&lt;/u&gt;
check the quality of the signals
and ensure that :
- &lt;b&gt;eye blinks&lt;/b&gt; are visible
- &lt;b&gt;jaw clenching&lt;/b&gt; are visible
- &lt;b&gt;alpha waves&lt;/b&gt; are visible when closing eyes
Two Signals are displayed, one is the raw EEG-Signal
and the other one is the filtered signal.
The filtered signal is the one, that will actually be used
in other scenarios.</Text>
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+ 1202
- 0
scenarios/p300-tactile-1-acquisition.xml
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+ 898
- 0
scenarios/p300-tactile-3-train-classifier.xml View File

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<Inputs>
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<Output>
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<Name>Feature vector stream</Name>
</Output>
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<Box>
<Identifier>(0x00001f83, 0x00004e32)</Identifier>
<Name>Generic stream reader</Name>
<AlgorithmClassIdentifier>(0x6468099f, 0x0370095a)</AlgorithmClassIdentifier>
<Outputs>
<Output>
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<Output>
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</Output>
<Output>
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<Name>Output stream 3</Name>
</Output>
</Outputs>
<Settings>
<Setting>
<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
<Name>Filename</Name>
<DefaultValue></DefaultValue>
<Value>${INPUT_FILE_NAME}</Value>
<Modifiability>false</Modifiability>
</Setting>
</Settings>
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<Attribute>
<Identifier>(0x17ee7c08, 0x94c14893)</Identifier>
<Value></Value>
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<Value>-160</Value>
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<Value>400</Value>
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<Box>
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<Name>Player Controller</Name>
<AlgorithmClassIdentifier>(0x5f426dce, 0x08456e13)</AlgorithmClassIdentifier>
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<Input>
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<Setting>
<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
<Name>Stimulation name</Name>
<DefaultValue>OVTK_StimulationId_Label_00</DefaultValue>
<Value>OVTK_StimulationId_TrainCompleted</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0xcc14d8d6, 0xf27ecb73)</TypeIdentifier>
<Name>Action to perform</Name>
<DefaultValue>Pause</DefaultValue>
<Value>Stop</Value>
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<Settings>
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<Name>Epoch duration (in sec)</Name>
<DefaultValue>1</DefaultValue>
<Value>0.600000</Value>
<Modifiability>false</Modifiability>
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<Setting>
<TypeIdentifier>(0x512a166f, 0x5c3ef83f)</TypeIdentifier>
<Name>Epoch offset (in sec)</Name>
<DefaultValue>0.5</DefaultValue>
<Value>0.000000</Value>
<Modifiability>false</Modifiability>
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<Setting>
<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
<Name>Stimulation to epoch from</Name>
<DefaultValue>OVTK_GDF_VEP</DefaultValue>
<Value>OVTK_StimulationId_NonTarget</Value>
<Modifiability>false</Modifiability>
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<Name>Input signal</Name>
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<Input>
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<Output>
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<Name>Epoched signal</Name>
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<Settings>
<Setting>
<TypeIdentifier>(0x512a166f, 0x5c3ef83f)</TypeIdentifier>
<Name>Epoch duration (in sec)</Name>
<DefaultValue>1</DefaultValue>
<Value>0.600000</Value>
<Modifiability>false</Modifiability>
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<Setting>
<TypeIdentifier>(0x512a166f, 0x5c3ef83f)</TypeIdentifier>
<Name>Epoch offset (in sec)</Name>
<DefaultValue>0.5</DefaultValue>
<Value>0.000000</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
<Name>Stimulation to epoch from</Name>
<DefaultValue>OVTK_GDF_VEP</DefaultValue>
<Value>OVTK_StimulationId_Target</Value>
<Modifiability>false</Modifiability>
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<TypeIdentifier>(0x6530bdb1, 0xd057bbfe)</TypeIdentifier>
<Name>Averaging type</Name>
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<Value>Epoch block average</Value>
<Modifiability>false</Modifiability>
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<Name>Spatial Filter Coefficients</Name>
<DefaultValue>1;0;0;0;0;1;0;0;0;0;1;0;0;0;0;1</DefaultValue>
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<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
<Name>Number of Output Channels</Name>
<DefaultValue>4</DefaultValue>
<Value>3</Value>
<Modifiability>false</Modifiability>
</Setting>
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<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
<Name>Number of Input Channels</Name>
<DefaultValue>4</DefaultValue>
<Value>16</Value>
<Modifiability>false</Modifiability>
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<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
<Name>Filter matrix file</Name>
<DefaultValue></DefaultValue>
<Value></Value>
<Modifiability>false</Modifiability>
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<Attribute>
<Identifier>(0x8d21ff41, 0xdf6afe7e)</Identifier>
<Value>${SPATIAL_FILTER_CONFIG}</Value>
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<Value>(0x00000000, 0x002b601f)</Value>
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<Input>
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<Name>Averaged epochs</Name>
</Output>
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<Settings>
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<TypeIdentifier>(0x6530bdb1, 0xd057bbfe)</TypeIdentifier>
<Name>Averaging type</Name>
<DefaultValue>Epoch block average</DefaultValue>
<Value>Epoch block average</Value>
<Modifiability>false</Modifiability>
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<Modifiability>false</Modifiability>
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<Name>Classifier trainer</Name>
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<Input>
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</Input>
<Input>
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<Outputs>
<Output>
<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
<Name>Train-completed Flag</Name>
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<Setting>
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<Name>Train trigger</Name>
<DefaultValue>OVTK_StimulationId_Train</DefaultValue>
<Value>${CLASSIFIER_TRAIN_TRIGGER}</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
<Name>Filename to save configuration to</Name>
<DefaultValue>${Path_UserData}/my-classifier.xml</DefaultValue>
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<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0xbe9eba5c, 0xa8415d37)</TypeIdentifier>
<Name>Multiclass strategy to apply</Name>
<DefaultValue>Native</DefaultValue>
<Value>${MULTICLASS_STRATEGY}</Value>
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<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
<Name>Class 1 label</Name>
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<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
<Name>Class 2 label</Name>
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<Modifiability>false</Modifiability>
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<Setting>
<TypeIdentifier>(0xd765a736, 0xed708c65)</TypeIdentifier>
<Name>Algorithm to use</Name>
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<Setting>
<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
<Name>Use shrinkage</Name>
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<Setting>
<TypeIdentifier>(0x512a166f, 0x5c3ef83f)</TypeIdentifier>
<Name>Shrinkage coefficient (-1 == auto)</Name>
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<Setting>
<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
<Name>Shrinkage: Force diagonal cov (DDA)</Name>
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<Value>${SHRINKAGE_FORCE_DIAGONAL_COV}</Value>
<Modifiability>false</Modifiability>
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<Setting>
<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
<Name>Number of partitions for k-fold cross-validation test</Name>
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<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
<Name>Balance classes</Name>
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<Value>${CLASS_BALANCE}</Value>
<Modifiability>false</Modifiability>
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<Text>&lt;u&gt;&lt;b&gt;&lt;big&gt;Scenario Overview&lt;/big&gt;&lt;/b&gt;&lt;/u&gt;
This scenario should be used to train
the LDA classifier.
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
&lt;i&gt;4-online&lt;/i&gt; session to have better results.
&lt;u&gt;&lt;b&gt;Note:&lt;/b&gt;&lt;/u&gt; in order to run this scenario,
the spatial filter should have been trained using
&lt;i&gt;2-train-xDAWN&lt;/i&gt; !</Text>
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<Value></Value>
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<Value>http://openvibe.inria.fr/p300-speller-xdawn/</Value>
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<Identifier>(0xf6b2e3fa, 0x7bd43926)</Identifier>
<Value>xDAWN P300 Speller</Value>
</Attribute>
<Attribute>
<Identifier>(0xf8034a49, 0x8b3f37cc)</Identifier>
<Value>INRIA</Value>
</Attribute>
</Attributes>
</OpenViBE-Scenario>

+ 2008
- 0
scenarios/p300-tactile-4-online.xml
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scenarios/p300-tactile.ui View File

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