BCIgui/Masterarbeit/openvibe/extras-master/plugins/processing/riemannian/bci-examples/0.1-Riemann-Classic-NOISE-Compute-Reference.xml

860 lines
25 KiB
XML
Raw Permalink Normal View History

2021-10-14 13:47:35 +02:00
<OpenViBE-Scenario>
<FormatVersion>2</FormatVersion>
<Creator>OpenViBE Designer</Creator>
<CreatorVersion>2.2.0</CreatorVersion>
<Settings>
<Setting>
<Identifier>(0x005e47b5, 0x7accff5e)</Identifier>
<TypeIdentifier>(0x79a9edeb, 0x245d83fc)</TypeIdentifier>
<Name>Directory</Name>
<DefaultValue>${Player_ScenarioDirectory}</DefaultValue>
<Value>${Player_ScenarioDirectory}</Value>
</Setting>
<Setting>
<Identifier>(0x004e186f, 0xc24bdf6a)</Identifier>
<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
<Name>LWF Mean</Name>
<DefaultValue>Mean-Riemann-LWF.csv</DefaultValue>
<Value>Mean-Riemann-LWF.csv</Value>
</Setting>
<Setting>
<Identifier>(0x0027a6f6, 0x70ff3236)</Identifier>
<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
<Name>Cor Mean</Name>
<DefaultValue>Mean-Riemann-COR.csv</DefaultValue>
<Value>Mean-Riemann-COR.csv</Value>
</Setting>
<Setting>
<Identifier>(0x000e76d1, 0xb1bece46)</Identifier>
<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
<Name>Stimulation</Name>
<DefaultValue>OVTK_StimulationId_TrainCompleted</DefaultValue>
<Value>OVTK_StimulationId_TrainCompleted</Value>
</Setting>
<Setting>
<Identifier>(0x007a31e5, 0x7abc0fe2)</Identifier>
<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
<Name>Log Level</Name>
<DefaultValue>Information</DefaultValue>
<Value>Information</Value>
</Setting>
</Settings>
<Inputs></Inputs>
<Outputs></Outputs>
<Boxes>
<Box>
<Identifier>(0x00000577, 0x0000375f)</Identifier>
<Name>Player Controller</Name>
<AlgorithmClassIdentifier>(0x5f426dce, 0x08456e13)</AlgorithmClassIdentifier>
<Inputs>
<Input>
<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
<Name>Stimulations</Name>
</Input>
</Inputs>
<Settings>
<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>
<Modifiability>false</Modifiability>
</Setting>
</Settings>
<Attributes>
<Attribute>
<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
<Value>384</Value>
</Attribute>
<Attribute>
<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
<Value>640</Value>
</Attribute>
<Attribute>
<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
<Value>(0x568d148e, 0x650792b3)</Value>
</Attribute>
<Attribute>
<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
<Value>2</Value>
</Attribute>
<Attribute>
<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
<Value>1</Value>
</Attribute>
</Attributes>
</Box>
<Box>
<Identifier>(0x000013ef, 0x00004894)</Identifier>
<Name>Timeout</Name>
<AlgorithmClassIdentifier>(0x24fcd292, 0x5c8f6aa8)</AlgorithmClassIdentifier>
<Inputs>
<Input>
<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
<Name>Input Stream</Name>
</Input>
</Inputs>
<Outputs>
<Output>
<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
<Name>Output Stimulations</Name>
</Output>
</Outputs>
<Settings>
<Setting>
<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
<Name>Timeout delay</Name>
<DefaultValue>5</DefaultValue>
<Value>60</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
<Name>Output Stimulation</Name>
<DefaultValue>OVTK_StimulationId_Label_00</DefaultValue>
<Value>OVTK_StimulationId_TrainCompleted</Value>
<Modifiability>false</Modifiability>
</Setting>
</Settings>
<Attributes>
<Attribute>
<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
<Value>288</Value>
</Attribute>
<Attribute>
<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
<Value>640</Value>
</Attribute>
<Attribute>
<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
<Value>(0x1eaee00e, 0xdb05d34e)</Value>
</Attribute>
<Attribute>
<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
<Value>1</Value>
</Attribute>
<Attribute>
<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
<Value>2</Value>
</Attribute>
<Attribute>
<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
<Value>1</Value>
</Attribute>
</Attributes>
</Box>
<Box>
<Identifier>(0x0000241d, 0x0000786a)</Identifier>
<Name>LWF</Name>
<AlgorithmClassIdentifier>(0x9a93af80, 0x6449c826)</AlgorithmClassIdentifier>
<Inputs>
<Input>
<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
<Name>Input Signal</Name>
</Input>
</Inputs>
<Outputs>
<Output>
<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
<Name>Output Covariance Matrix</Name>
</Output>
</Outputs>
<Settings>
<Setting>
<TypeIdentifier>(0x5261636b, 0x45535449)</TypeIdentifier>
<Name>Estimator</Name>
<DefaultValue>Covariance</DefaultValue>
<Value>Ledoit and Wolf</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
<Name>Center Data</Name>
<DefaultValue>true</DefaultValue>
<Value>true</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0xa88b3667, 0x0871638c)</TypeIdentifier>
<Name>Log Level</Name>
<DefaultValue>Information</DefaultValue>
<Value>$var{Log Level}</Value>
<Modifiability>false</Modifiability>
</Setting>
</Settings>
<Attributes>
<Attribute>
<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
<Value>304</Value>
</Attribute>
<Attribute>
<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
<Value>480</Value>
</Attribute>
<Attribute>
<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
<Value>(0xa227af77, 0xcd1af363)</Value>
</Attribute>
<Attribute>
<Identifier>(0x666fffff, 0x666fffff)</Identifier>
<Value></Value>
</Attribute>
<Attribute>
<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
<Value>1</Value>
</Attribute>
<Attribute>
<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
<Value>3</Value>
</Attribute>
<Attribute>
<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
<Value>1</Value>
</Attribute>
</Attributes>
</Box>
<Box>
<Identifier>(0x0000241d, 0x0000786b)</Identifier>
<Name>COR</Name>
<AlgorithmClassIdentifier>(0x9a93af80, 0x6449c826)</AlgorithmClassIdentifier>
<Inputs>
<Input>
<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
<Name>Input Signal</Name>
</Input>
</Inputs>
<Outputs>
<Output>
<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
<Name>Output Covariance Matrix</Name>
</Output>
</Outputs>
<Settings>
<Setting>
<TypeIdentifier>(0x5261636b, 0x45535449)</TypeIdentifier>
<Name>Estimator</Name>
<DefaultValue>Covariance</DefaultValue>
<Value>Pearson Correlation</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
<Name>Center Data</Name>
<DefaultValue>true</DefaultValue>
<Value>true</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0xa88b3667, 0x0871638c)</TypeIdentifier>
<Name>Log Level</Name>
<DefaultValue>Information</DefaultValue>
<Value>$var{Log Level}</Value>
<Modifiability>false</Modifiability>
</Setting>
</Settings>
<Attributes>
<Attribute>
<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
<Value>304</Value>
</Attribute>
<Attribute>
<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
<Value>800</Value>
</Attribute>
<Attribute>
<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
<Value>(0xa227af77, 0xcd1af363)</Value>
</Attribute>
<Attribute>
<Identifier>(0x666fffff, 0x666fffff)</Identifier>
<Value></Value>
</Attribute>
<Attribute>
<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
<Value>1</Value>
</Attribute>
<Attribute>
<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
<Value>3</Value>
</Attribute>
<Attribute>
<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
<Value>1</Value>
</Attribute>
</Attributes>
</Box>
<Box>
<Identifier>(0x00003a4d, 0x00004a1b)</Identifier>
<Name>Covariance Mean Calculator</Name>
<AlgorithmClassIdentifier>(0x67955ea4, 0x7c643c0f)</AlgorithmClassIdentifier>
<Inputs>
<Input>
<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
<Name>Input Stimulation</Name>
</Input>
<Input>
<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
<Name>Input Covariance Matrix 1</Name>
</Input>
</Inputs>
<Outputs>
<Output>
<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
<Name>Output Mean Matrix</Name>
</Output>
</Outputs>
<Settings>
<Setting>
<TypeIdentifier>(0x5261636b, 0x4d455452)</TypeIdentifier>
<Name>Metric</Name>
<DefaultValue>Riemann</DefaultValue>
<Value>Riemann</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
<Name>Filename to save Matrix (CSV, empty to not save)</Name>
<DefaultValue>${Player_ScenarioDirectory}/Mean.csv</DefaultValue>
<Value>$var{Directory}/$var{LWF Mean}</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
<Name>Stimulation name that triggers the compute</Name>
<DefaultValue>OVTK_StimulationId_TrainCompleted</DefaultValue>
<Value>$var{Stimulation}</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0xa88b3667, 0x0871638c)</TypeIdentifier>
<Name>Log Level</Name>
<DefaultValue>Information</DefaultValue>
<Value>$var{Log Level}</Value>
<Modifiability>false</Modifiability>
</Setting>
</Settings>
<Attributes>
<Attribute>
<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
<Value>384</Value>
</Attribute>
<Attribute>
<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
<Value>480</Value>
</Attribute>
<Attribute>
<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
<Value>(0xa6202e43, 0xaf22cef6)</Value>
</Attribute>
<Attribute>
<Identifier>(0x666fffff, 0x666fffff)</Identifier>
<Value></Value>
</Attribute>
<Attribute>
<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
<Value>1</Value>
</Attribute>
<Attribute>
<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
<Value>4</Value>
</Attribute>
<Attribute>
<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
<Value>2</Value>
</Attribute>
<Attribute>
<Identifier>(0xfba64161, 0x65304e21)</Identifier>
<Value></Value>
</Attribute>
</Attributes>
</Box>
<Box>
<Identifier>(0x00003a4d, 0x00004a1c)</Identifier>
<Name>Covariance Mean Calculator</Name>
<AlgorithmClassIdentifier>(0x67955ea4, 0x7c643c0f)</AlgorithmClassIdentifier>
<Inputs>
<Input>
<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
<Name>Input Stimulation</Name>
</Input>
<Input>
<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
<Name>Input Covariance Matrix 1</Name>
</Input>
</Inputs>
<Outputs>
<Output>
<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
<Name>Output Mean Matrix</Name>
</Output>
</Outputs>
<Settings>
<Setting>
<TypeIdentifier>(0x5261636b, 0x4d455452)</TypeIdentifier>
<Name>Metric</Name>
<DefaultValue>Riemann</DefaultValue>
<Value>Riemann</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
<Name>Filename to save Matrix (CSV, empty to not save)</Name>
<DefaultValue>${Player_ScenarioDirectory}/Mean.csv</DefaultValue>
<Value>$var{Directory}/$var{Cor Mean}</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
<Name>Stimulation name that triggers the compute</Name>
<DefaultValue>OVTK_StimulationId_TrainCompleted</DefaultValue>
<Value>$var{Stimulation}</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0xa88b3667, 0x0871638c)</TypeIdentifier>
<Name>Log Level</Name>
<DefaultValue>Information</DefaultValue>
<Value>$var{Log Level}</Value>
<Modifiability>false</Modifiability>
</Setting>
</Settings>
<Attributes>
<Attribute>
<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
<Value>384</Value>
</Attribute>
<Attribute>
<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
<Value>800</Value>
</Attribute>
<Attribute>
<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
<Value>(0xa6202e43, 0xaf22cef6)</Value>
</Attribute>
<Attribute>
<Identifier>(0x666fffff, 0x666fffff)</Identifier>
<Value></Value>
</Attribute>
<Attribute>
<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
<Value>1</Value>
</Attribute>
<Attribute>
<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
<Value>4</Value>
</Attribute>
<Attribute>
<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
<Value>2</Value>
</Attribute>
<Attribute>
<Identifier>(0xfba64161, 0x65304e21)</Identifier>
<Value></Value>
</Attribute>
</Attributes>
</Box>
<Box>
<Identifier>(0x00004173, 0x000028f8)</Identifier>
<Name>Simple DSP</Name>
<AlgorithmClassIdentifier>(0x00e26fa1, 0x1dbab1b2)</AlgorithmClassIdentifier>
<Inputs>
<Input>
<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
<Name>Input - A</Name>
</Input>
</Inputs>
<Outputs>
<Output>
<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
<Name>Output</Name>
</Output>
</Outputs>
<Settings>
<Setting>
<TypeIdentifier>(0x79a9edeb, 0x245d83fc)</TypeIdentifier>
<Name>Equation</Name>
<DefaultValue>x</DefaultValue>
<Value>(x+1)*10</Value>
<Modifiability>false</Modifiability>
</Setting>
</Settings>
<Attributes>
<Attribute>
<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
<Value>160</Value>
</Attribute>
<Attribute>
<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
<Value>640</Value>
</Attribute>
<Attribute>
<Identifier>(0x30a4e5c9, 0x83502953)</Identifier>
<Value></Value>
</Attribute>
<Attribute>
<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
<Value>(0x21889dc4, 0x1126497e)</Value>
</Attribute>
<Attribute>
<Identifier>(0x527ad68d, 0x16d746a0)</Identifier>
<Value></Value>
</Attribute>
<Attribute>
<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
<Value>(0x00000000, 0x009ba89e)</Value>
</Attribute>
<Attribute>
<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
<Value>false</Value>
</Attribute>
<Attribute>
<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
<Value>1</Value>
</Attribute>
<Attribute>
<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
<Value>1</Value>
</Attribute>
<Attribute>
<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
<Value>1</Value>
</Attribute>
<Attribute>
<Identifier>(0xfba64161, 0x65304e21)</Identifier>
<Value></Value>
</Attribute>
</Attributes>
</Box>
<Box>
<Identifier>(0x0000586a, 0x00001f44)</Identifier>
<Name>Time based epoching</Name>
<AlgorithmClassIdentifier>(0x00777fa0, 0x5dc3f560)</AlgorithmClassIdentifier>
<Inputs>
<Input>
<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
<Name>Input signal</Name>
</Input>
</Inputs>
<Outputs>
<Output>
<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
<Name>Epoched signal</Name>
</Output>
</Outputs>
<Settings>
<Setting>
<TypeIdentifier>(0x512a166f, 0x5c3ef83f)</TypeIdentifier>
<Name>Epoch duration (in sec)</Name>
<DefaultValue>1</DefaultValue>
<Value>1.000000</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0x512a166f, 0x5c3ef83f)</TypeIdentifier>
<Name>Epoch intervals (in sec)</Name>
<DefaultValue>0.5</DefaultValue>
<Value>0.5</Value>
<Modifiability>false</Modifiability>
</Setting>
</Settings>
<Attributes>
<Attribute>
<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
<Value>224</Value>
</Attribute>
<Attribute>
<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
<Value>640</Value>
</Attribute>
<Attribute>
<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
<Value>(0xc5ff41e9, 0xccc59a01)</Value>
</Attribute>
<Attribute>
<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
<Value>1</Value>
</Attribute>
<Attribute>
<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
<Value>2</Value>
</Attribute>
<Attribute>
<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
<Value>1</Value>
</Attribute>
</Attributes>
</Box>
<Box>
<Identifier>(0x00006642, 0x00007f5c)</Identifier>
<Name>Noise generator</Name>
<AlgorithmClassIdentifier>(0x0e3929f1, 0x15af76b9)</AlgorithmClassIdentifier>
<Outputs>
<Output>
<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
<Name>Generated signal</Name>
</Output>
</Outputs>
<Settings>
<Setting>
<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
<Name>Channel count</Name>
<DefaultValue>4</DefaultValue>
<Value>4</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
<Name>Sampling frequency</Name>
<DefaultValue>512</DefaultValue>
<Value>512</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
<Name>Generated epoch sample count</Name>
<DefaultValue>32</DefaultValue>
<Value>32</Value>
<Modifiability>false</Modifiability>
</Setting>
<Setting>
<TypeIdentifier>(0x2e85e95e, 0x8a1a8365)</TypeIdentifier>
<Name>Noise type</Name>
<DefaultValue>Uniform</DefaultValue>
<Value>Uniform</Value>
<Modifiability>false</Modifiability>
</Setting>
</Settings>
<Attributes>
<Attribute>
<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
<Value>112</Value>
</Attribute>
<Attribute>
<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
<Value>640</Value>
</Attribute>
<Attribute>
<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
<Value>(0x88a4a7f6, 0x4180bdb0)</Value>
</Attribute>
<Attribute>
<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
<Value>1</Value>
</Attribute>
<Attribute>
<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
<Value>4</Value>
</Attribute>
</Attributes>
</Box>
</Boxes>
<Links>
<Link>
<Identifier>(0x00002145, 0x0000754f)</Identifier>
<Source>
<BoxIdentifier>(0x000013ef, 0x00004894)</BoxIdentifier>
<BoxOutputIndex>0</BoxOutputIndex>
</Source>
<Target>
<BoxIdentifier>(0x00000577, 0x0000375f)</BoxIdentifier>
<BoxInputIndex>0</BoxInputIndex>
</Target>
</Link>
<Link>
<Identifier>(0x000026f2, 0x00005da6)</Identifier>
<Source>
<BoxIdentifier>(0x0000586a, 0x00001f44)</BoxIdentifier>
<BoxOutputIndex>0</BoxOutputIndex>
</Source>
<Target>
<BoxIdentifier>(0x0000241d, 0x0000786a)</BoxIdentifier>
<BoxInputIndex>0</BoxInputIndex>
</Target>
</Link>
<Link>
<Identifier>(0x0000577e, 0x00000ace)</Identifier>
<Source>
<BoxIdentifier>(0x0000586a, 0x00001f44)</BoxIdentifier>
<BoxOutputIndex>0</BoxOutputIndex>
</Source>
<Target>
<BoxIdentifier>(0x0000241d, 0x0000786b)</BoxIdentifier>
<BoxInputIndex>0</BoxInputIndex>
</Target>
</Link>
<Link>
<Identifier>(0x00006078, 0x00007097)</Identifier>
<Source>
<BoxIdentifier>(0x0000241d, 0x0000786b)</BoxIdentifier>
<BoxOutputIndex>0</BoxOutputIndex>
</Source>
<Target>
<BoxIdentifier>(0x00003a4d, 0x00004a1c)</BoxIdentifier>
<BoxInputIndex>1</BoxInputIndex>
</Target>
</Link>
<Link>
<Identifier>(0x000065eb, 0x00000ed7)</Identifier>
<Source>
<BoxIdentifier>(0x000013ef, 0x00004894)</BoxIdentifier>
<BoxOutputIndex>0</BoxOutputIndex>
</Source>
<Target>
<BoxIdentifier>(0x00003a4d, 0x00004a1b)</BoxIdentifier>
<BoxInputIndex>0</BoxInputIndex>
</Target>
</Link>
<Link>
<Identifier>(0x00006656, 0x00002fdb)</Identifier>
<Source>
<BoxIdentifier>(0x00006642, 0x00007f5c)</BoxIdentifier>
<BoxOutputIndex>0</BoxOutputIndex>
</Source>
<Target>
<BoxIdentifier>(0x00004173, 0x000028f8)</BoxIdentifier>
<BoxInputIndex>0</BoxInputIndex>
</Target>
</Link>
<Link>
<Identifier>(0x00006ab6, 0x0000519d)</Identifier>
<Source>
<BoxIdentifier>(0x0000241d, 0x0000786a)</BoxIdentifier>
<BoxOutputIndex>0</BoxOutputIndex>
</Source>
<Target>
<BoxIdentifier>(0x00003a4d, 0x00004a1b)</BoxIdentifier>
<BoxInputIndex>1</BoxInputIndex>
</Target>
</Link>
<Link>
<Identifier>(0x00007b25, 0x00006cb8)</Identifier>
<Source>
<BoxIdentifier>(0x00004173, 0x000028f8)</BoxIdentifier>
<BoxOutputIndex>0</BoxOutputIndex>
</Source>
<Target>
<BoxIdentifier>(0x0000586a, 0x00001f44)</BoxIdentifier>
<BoxInputIndex>0</BoxInputIndex>
</Target>
</Link>
<Link>
<Identifier>(0x00007f37, 0x0000790c)</Identifier>
<Source>
<BoxIdentifier>(0x000013ef, 0x00004894)</BoxIdentifier>
<BoxOutputIndex>0</BoxOutputIndex>
</Source>
<Target>
<BoxIdentifier>(0x00003a4d, 0x00004a1c)</BoxIdentifier>
<BoxInputIndex>0</BoxInputIndex>
</Target>
</Link>
</Links>
<Comments>
<Comment>
<Identifier>(0x000054d7, 0x00005adf)</Identifier>
<Text>Compute Mean</Text>
<Attributes>
<Attribute>
<Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
<Value>288</Value>
</Attribute>
<Attribute>
<Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
<Value>384</Value>
</Attribute>
</Attributes>
</Comment>
<Comment>
<Identifier>(0x000054d7, 0x00005ae0)</Identifier>
<Text>Input Signal</Text>
<Attributes>
<Attribute>
<Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
<Value>288</Value>
</Attribute>
<Attribute>
<Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
<Value>144</Value>
</Attribute>
</Attributes>
</Comment>
<Comment>
<Identifier>(0x000054d7, 0x00005ae1)</Identifier>
<Text>Compute Covariance</Text>
<Attributes>
<Attribute>
<Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
<Value>288</Value>
</Attribute>
<Attribute>
<Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
<Value>304</Value>
</Attribute>
</Attributes>
</Comment>
</Comments>
<Metadata>
<Entry>
<Identifier>(0x05377d7e, 0x41751bb3)</Identifier>
<Type>(0x3bcce5d2, 0x43f2d968)</Type>
<Data>[{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":1,"height":592,"identifier":"(0x00001f6c, 0x000012a7)","name":"Display","parentIdentifier":"(0xffffffff, 0xffffffff)","type":1,"width":831},{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":1,"identifier":"(0x00003bf6, 0x000002ba)","index":0,"name":"Default tab","parentIdentifier":"(0x00001f6c, 0x000012a7)","type":2},{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":0,"identifier":"(0x00005d22, 0x00004235)","index":0,"name":"Empty","parentIdentifier":"(0x00003bf6, 0x000002ba)","type":0}]</Data>
</Entry>
</Metadata>
<Attributes>
<Attribute>
<Identifier>(0x079d1f09, 0x667c7871)</Identifier>
<Value></Value>
</Attribute>
<Attribute>
<Identifier>(0x4c90d4ad, 0x7a2554ec)</Identifier>
<Value>320</Value>
</Attribute>
<Attribute>
<Identifier>(0x60bc58ab, 0x7a1b4d83)</Identifier>
<Value></Value>
</Attribute>
<Attribute>
<Identifier>(0x790d75b8, 0x3bb90c33)</Identifier>
<Value>Thibaut Monseigne</Value>
</Attribute>
<Attribute>
<Identifier>(0x7a3a1558, 0xf12c63c2)</Identifier>
<Value></Value>
</Attribute>
<Attribute>
<Identifier>(0x7b814cca, 0x271df6dd)</Identifier>
<Value>475</Value>
</Attribute>
<Attribute>
<Identifier>(0x84009d7c, 0x3c4e763b)</Identifier>
<Value></Value>
</Attribute>
<Attribute>
<Identifier>(0x8c1fc55b, 0x7b433dc2)</Identifier>
<Value>1.0</Value>
</Attribute>
<Attribute>
<Identifier>(0x9f5c4075, 0x4a0d3666)</Identifier>
<Value>Classification Riemann Classic Compute Reference Example</Value>
</Attribute>
<Attribute>
<Identifier>(0xf36a1567, 0xd13c53da)</Identifier>
<Value></Value>
</Attribute>
<Attribute>
<Identifier>(0xf6b2e3fa, 0x7bd43926)</Identifier>
<Value>bci-examples</Value>
</Attribute>
<Attribute>
<Identifier>(0xf8034a49, 0x8b3f37cc)</Identifier>
<Value>Inria</Value>
</Attribute>
</Attributes>
</OpenViBE-Scenario>