2
OpenViBE Designer
2.2.0
(0x0028f139, 0x9f535b8a)
(0x330306dd, 0x74a95f98)
Data
${Path_Data}/scenarios/signals/bci-motor-imagery.ov
${Path_Data}/scenarios/signals/bci-motor-imagery.ov
(0x00659961, 0xe97d5856)
(0x79a9edeb, 0x245d83fc)
Directory
${Player_ScenarioDirectory}/
${Player_ScenarioDirectory}
(0x0030836f, 0x32c229e2)
(0x330306dd, 0x74a95f98)
Model Filename
Classification-Riemann-Classic-Training-Model.xml
Riemann-Classic-Training-Model.xml
(0x005b3a0a, 0x9606a42e)
(0x330306dd, 0x74a95f98)
Mean
Mean-Riemann.csv
Mean-Riemann.csv
(0x000045cd, 0xbf65ab3a)
(0x2c132d6e, 0x44ab0d97)
Stimulation Class 1
OVTK_GDF_Left
OVTK_GDF_Left
(0x003d07e7, 0x47d37506)
(0x2c132d6e, 0x44ab0d97)
Stimulation Class 2
OVTK_GDF_Right
OVTK_GDF_Right
(0x00417469, 0x63bdca5e)
(0x007deef9, 0x2f3e95c6)
Log Level
Information
Information
(0x0000241d, 0x0000786b)
LWF
(0x9a93af80, 0x6449c826)
(0x5ba36127, 0x195feae1)
Input Signal
(0x5261636b, 0x45535449)
Estimator
Covariance
Ledoit and Wolf
false
(0x2cdb2f0b, 0x12f231ea)
Center Data
true
true
false
(0xa88b3667, 0x0871638c)
Log Level
Information
$var{Log Level}
false
(0x1fa7a38f, 0x54edbe0b)
640
(0x207c9054, 0x3c841b63)
784
(0x4e7b798a, 0x183beafb)
(0xa227af77, 0xcd1af363)
(0x666fffff, 0x666fffff)
(0xc80ce8af, 0xf699f813)
1
(0xce18836a, 0x9c0eb403)
3
(0xcfad85b0, 0x7c6d841c)
1
(0x0000241d, 0x0000786c)
LWF
(0x9a93af80, 0x6449c826)
(0x5ba36127, 0x195feae1)
Input Signal
(0x5261636b, 0x45535449)
Estimator
Covariance
Ledoit and Wolf
false
(0x2cdb2f0b, 0x12f231ea)
Center Data
true
true
false
(0xa88b3667, 0x0871638c)
Log Level
Information
$var{Log Level}
false
(0x1fa7a38f, 0x54edbe0b)
640
(0x207c9054, 0x3c841b63)
1040
(0x4e7b798a, 0x183beafb)
(0xa227af77, 0xcd1af363)
(0x666fffff, 0x666fffff)
(0xc80ce8af, 0xf699f813)
1
(0xce18836a, 0x9c0eb403)
3
(0xcfad85b0, 0x7c6d841c)
1
(0x000044b9, 0x00003dab)
Tangent Space
(0x7c265dba, 0x202c1f70)
(0x544a003e, 0x6dcba5f6)
Input Covariance Matrix
(0x2cdb2f0b, 0x12f231ea)
Tangent Space
true
true
false
(0x330306dd, 0x74a95f98)
Filename to Reference Matrix (CSV, empty for Identity)
${Player_ScenarioDirectory}/Mean.csv
$var{Directory}/$var{Mean}
false
(0xa88b3667, 0x0871638c)
Log Level
Information
$var{Log Level}
false
(0x1fa7a38f, 0x54edbe0b)
704
(0x207c9054, 0x3c841b63)
784
(0x4e7b798a, 0x183beafb)
(0xbfd23954, 0x40c20e2d)
(0x666fffff, 0x666fffff)
(0xc80ce8af, 0xf699f813)
1
(0xce18836a, 0x9c0eb403)
3
(0xcfad85b0, 0x7c6d841c)
1
(0x000044b9, 0x00003dac)
Tangent Space
(0x7c265dba, 0x202c1f70)
(0x544a003e, 0x6dcba5f6)
Input Covariance Matrix
(0x2cdb2f0b, 0x12f231ea)
Tangent Space
true
true
false
(0x330306dd, 0x74a95f98)
Filename to Reference Matrix (CSV, empty for Identity)
${Player_ScenarioDirectory}/Mean.csv
$var{Directory}/$var{Mean}
false
(0xa88b3667, 0x0871638c)
Log Level
Information
$var{Log Level}
false
(0x1fa7a38f, 0x54edbe0b)
704
(0x207c9054, 0x3c841b63)
1040
(0x4e7b798a, 0x183beafb)
(0xbfd23954, 0x40c20e2d)
(0x666fffff, 0x666fffff)
(0xc80ce8af, 0xf699f813)
1
(0xce18836a, 0x9c0eb403)
3
(0xcfad85b0, 0x7c6d841c)
1
(0x00005062, 0x000009d7)
Classifier trainer
(0xf3dae8a8, 0x3b444154)
(0x6f752dd0, 0x082a321e)
Stimulations
(0x17341935, 0x152ff448)
Features for class 1
(0x17341935, 0x152ff448)
Features for class 2
(0x2c132d6e, 0x44ab0d97)
Train trigger
OVTK_StimulationId_Train
OVTK_StimulationId_Train
false
(0x330306dd, 0x74a95f98)
Filename to save configuration to
${Path_UserData}/my-classifier.xml
$var{Directory}/$var{Model Filename}
false
(0xbe9eba5c, 0xa8415d37)
Multiclass strategy to apply
Native
Native
false
(0x2c132d6e, 0x44ab0d97)
Class 1 label
OVTK_StimulationId_Label_01
$var{Stimulation Class 1}
false
(0x2c132d6e, 0x44ab0d97)
Class 2 label
OVTK_StimulationId_Label_02
$var{Stimulation Class 2}
false
(0xd765a736, 0xed708c65)
Algorithm to use
Linear Discrimimant Analysis (LDA)
Linear Discrimimant Analysis (LDA)
false
(0x2cdb2f0b, 0x12f231ea)
Use shrinkage
false
false
false
(0x512a166f, 0x5c3ef83f)
Shrinkage coefficient (-1 == auto)
-1.000000
-1.000000
false
(0x2cdb2f0b, 0x12f231ea)
Shrinkage: Force diagonal cov (DDA)
false
false
false
(0x2cdb2f0b, 0x12f231ea)
Shrinkage: Force diagonal cov (DDA)(1)
false
false
false
(0x2cdb2f0b, 0x12f231ea)
Balance classes
false
true
false
(0x1fa7a38f, 0x54edbe0b)
768
(0x207c9054, 0x3c841b63)
912
(0x4e7b798a, 0x183beafb)
(0x9de21779, 0x37776c89)
(0xc46b3d00, 0x3e0454e1)
(0x00000000, 0x0177ec55)
(0xc73e83ec, 0xf855c5bc)
false
(0xc80ce8af, 0xf699f813)
1
(0xce18836a, 0x9c0eb403)
6
(0xcfad85b0, 0x7c6d841c)
3
(0xfba64161, 0x65304e21)
(0x00005607, 0x00006ea6)
Player Controller
(0x5f426dce, 0x08456e13)
(0x6f752dd0, 0x082a321e)
Stimulations
(0x2c132d6e, 0x44ab0d97)
Stimulation name
OVTK_StimulationId_Label_00
OVTK_StimulationId_TrainCompleted
false
(0xcc14d8d6, 0xf27ecb73)
Action to perform
Pause
Stop
false
(0x1fa7a38f, 0x54edbe0b)
832
(0x207c9054, 0x3c841b63)
912
(0x4e7b798a, 0x183beafb)
(0x568d148e, 0x650792b3)
(0xc46b3d00, 0x3e0454e1)
(0x00000000, 0x0059275b)
(0xc73e83ec, 0xf855c5bc)
false
(0xce18836a, 0x9c0eb403)
2
(0xcfad85b0, 0x7c6d841c)
1
(0x000078f6, 0x0000791d)
Tangent Left
(0x54f0796d, 0x3ede2cc0)
(0x544a003e, 0x6dcba5f6)
Matrix
(0x3d3c7c7f, 0xef0e7129)
Color gradient
0:2,36,58; 50:100,100,100; 100:83,17,20
0:2,36,58; 50:100,100,100; 100:83,17,20
false
(0x007deef9, 0x2f3e95c6)
Steps
100
100
false
(0x2cdb2f0b, 0x12f231ea)
Symetric min/max
false
false
false
(0x2cdb2f0b, 0x12f231ea)
Real time min/max
false
false
false
(0x1fa7a38f, 0x54edbe0b)
768
(0x207c9054, 0x3c841b63)
784
(0x341d3912, 0x1478de86)
1
(0x4e7b798a, 0x183beafb)
(0x4ff49bdb, 0x9dcf6788)
(0xce18836a, 0x9c0eb403)
4
(0xcfad85b0, 0x7c6d841c)
1
(0x000078f6, 0x0000791e)
Tangent Right
(0x54f0796d, 0x3ede2cc0)
(0x544a003e, 0x6dcba5f6)
Matrix
(0x3d3c7c7f, 0xef0e7129)
Color gradient
0:2,36,58; 50:100,100,100; 100:83,17,20
0:2,36,58; 50:100,100,100; 100:83,17,20
false
(0x007deef9, 0x2f3e95c6)
Steps
100
100
false
(0x2cdb2f0b, 0x12f231ea)
Symetric min/max
false
false
false
(0x2cdb2f0b, 0x12f231ea)
Real time min/max
false
false
false
(0x1fa7a38f, 0x54edbe0b)
768
(0x207c9054, 0x3c841b63)
1040
(0x341d3912, 0x1478de86)
1
(0x4e7b798a, 0x183beafb)
(0x4ff49bdb, 0x9dcf6788)
(0xce18836a, 0x9c0eb403)
4
(0xcfad85b0, 0x7c6d841c)
1
(0x0841694e, 0x28e40f42)
Stimulation based epoching
(0x426163d1, 0x324237b0)
(0x5ba36127, 0x195feae1)
Input signal
(0x6f752dd0, 0x082a321e)
Input stimulations
(0x512a166f, 0x5c3ef83f)
Epoch duration (in sec)
1
4.000000
false
(0x512a166f, 0x5c3ef83f)
Epoch offset (in sec)
0.5
0.500000
false
(0x2c132d6e, 0x44ab0d97)
Stimulation to epoch from
OVTK_GDF_VEP
$var{Stimulation Class 2}
false
(0x1fa7a38f, 0x54edbe0b)
528
(0x207c9054, 0x3c841b63)
1040
(0x4e7b798a, 0x183beafb)
(0xa79941ae, 0x80708445)
(0x11a6038b, 0x7157c283)
Generic stream reader
(0x6468099f, 0x0370095a)
(0x330306dd, 0x74a95f98)
Filename
$var{Data}
false
(0x17ee7c08, 0x94c14893)
(0x1fa7a38f, 0x54edbe0b)
208
(0x207c9054, 0x3c841b63)
912
(0x30a4e5c9, 0x83502953)
(0x4e7b798a, 0x183beafb)
(0xf37b8e7a, 0x1bc33e4e)
(0xc46b3d00, 0x3e0454e1)
(0x00000000, 0x005e1c11)
(0x1396fde6, 0x1c649749)
Identity
(0x5dffe431, 0x35215c50)
(0x6f752dd0, 0x082a321e)
Input stream 1
(0x17ee7c08, 0x94c14893)
(0x1fa7a38f, 0x54edbe0b)
336
(0x207c9054, 0x3c841b63)
1040
(0x30a4e5c9, 0x83502953)
(0x4e7b798a, 0x183beafb)
(0xa8ffe2a3, 0x27038f03)
(0x527ad68d, 0x16d746a0)
(0xc46b3d00, 0x3e0454e1)
(0x00000000, 0x0017fc7a)
(0xfba64161, 0x65304e21)
(0x1f046833, 0x21a8a876)
Identity
(0x5dffe431, 0x35215c50)
(0x5ba36127, 0x195feae1)
Input stream 1
(0x6f752dd0, 0x082a321e)
Input stream 2
(0x17ee7c08, 0x94c14893)
(0x1fa7a38f, 0x54edbe0b)
464
(0x207c9054, 0x3c841b63)
912
(0x30a4e5c9, 0x83502953)
(0x4e7b798a, 0x183beafb)
(0xa8ffe2a3, 0x27038f03)
(0x527ad68d, 0x16d746a0)
(0xc46b3d00, 0x3e0454e1)
(0x00000000, 0x001882ae)
(0xfba64161, 0x65304e21)
(0x2b88852d, 0x43d7a772)
Reference Channel
(0x444721ad, 0x78342cf5)
(0x5ba36127, 0x195feae1)
Input signal
(0x79a9edeb, 0x245d83fc)
Channel
Ref_Nose
Nz
false
(0x666f25e9, 0x3e5738d6)
Channel Matching Method
Smart
Smart
false
(0x1fa7a38f, 0x54edbe0b)
272
(0x207c9054, 0x3c841b63)
912
(0x4e7b798a, 0x183beafb)
(0x7e39891d, 0x32cf5be7)
(0xc80ce8af, 0xf699f813)
1
(0xce18836a, 0x9c0eb403)
2
(0xcfad85b0, 0x7c6d841c)
1
(0x4c1eab6f, 0x0e8c522c)
Stimulation based epoching
(0x426163d1, 0x324237b0)
(0x5ba36127, 0x195feae1)
Input signal
(0x6f752dd0, 0x082a321e)
Input stimulations
(0x512a166f, 0x5c3ef83f)
Epoch duration (in sec)
1
4.000000
false
(0x512a166f, 0x5c3ef83f)
Epoch offset (in sec)
0.5
0.500000
false
(0x2c132d6e, 0x44ab0d97)
Stimulation to epoch from
OVTK_GDF_VEP
$var{Stimulation Class 1}
false
(0x1fa7a38f, 0x54edbe0b)
528
(0x207c9054, 0x3c841b63)
784
(0x4e7b798a, 0x183beafb)
(0xa79941ae, 0x80708445)
(0x5045ebd9, 0x67325c0b)
Player Controller
(0x5f426dce, 0x08456e13)
(0x6f752dd0, 0x082a321e)
Stimulations
(0x2c132d6e, 0x44ab0d97)
Stimulation name
OVTK_StimulationId_Label_00
OVTK_StimulationId_EndOfFile
false
(0xcc14d8d6, 0xf27ecb73)
Action to perform
Pause
Stop
false
(0x1fa7a38f, 0x54edbe0b)
400
(0x207c9054, 0x3c841b63)
1040
(0x4e7b798a, 0x183beafb)
(0x568d148e, 0x650792b3)
(0xce18836a, 0x9c0eb403)
2
(0xcfad85b0, 0x7c6d841c)
1
(0x5194b6cb, 0x7e001786)
Channel Selector
(0x361722e8, 0x311574e8)
(0x5ba36127, 0x195feae1)
Input signal
(0x79a9edeb, 0x245d83fc)
Channel List
-
C3;C4;FC3;FC4;C5;C1;C2;C6;CP3;CP4
false
(0x3bcf9e67, 0x0c23994d)
Action
Select
Select
false
(0x666f25e9, 0x3e5738d6)
Channel Matching Method
Smart
Smart
false
(0x1fa7a38f, 0x54edbe0b)
320
(0x207c9054, 0x3c841b63)
912
(0x30a4e5c9, 0x83502953)
(0x4e7b798a, 0x183beafb)
(0x277826e1, 0xa30a3bd0)
(0x527ad68d, 0x16d746a0)
(0xc80ce8af, 0xf699f813)
1
(0xce18836a, 0x9c0eb403)
3
(0xcfad85b0, 0x7c6d841c)
1
(0x52a5790c, 0x13d24266)
Time based epoching
(0x00777fa0, 0x5dc3f560)
(0x5ba36127, 0x195feae1)
Input signal
(0x512a166f, 0x5c3ef83f)
Epoch 1 duration (in sec)
1
1.000000
false
(0x512a166f, 0x5c3ef83f)
Epoch 1 intervals (in sec)
0.5
0.062500
false
(0x17ee7c08, 0x94c14893)
(0x1fa7a38f, 0x54edbe0b)
576
(0x207c9054, 0x3c841b63)
1040
(0x4e7b798a, 0x183beafb)
(0xc5ff41e9, 0xccc59a01)
(0xc46b3d00, 0x3e0454e1)
(0x00000000, 0x0017fc72)
(0x558c587f, 0x223f3b66)
Temporal filter
(0xb4f9d042, 0x9d79f2e5)
(0x5ba36127, 0x195feae1)
Input signal
(0x2f2c606c, 0x8512ed68)
Filter method
Butterworth
Butterworth
false
(0xfa20178e, 0x4cba62e9)
Filter type
Low pass
Band pass
false
(0x007deef9, 0x2f3e95c6)
Filter order
4
4
false
(0x512a166f, 0x5c3ef83f)
Low cut frequency (Hz)
29
8.000000
false
(0x512a166f, 0x5c3ef83f)
High cut frequency (Hz)
40
24.000000
false
(0x512a166f, 0x5c3ef83f)
Pass band ripple (dB)
0.5
0.500000
false
(0x1fa7a38f, 0x54edbe0b)
384
(0x207c9054, 0x3c841b63)
912
(0x4e7b798a, 0x183beafb)
(0x27a4ceec, 0x876d6384)
(0xc46b3d00, 0x3e0454e1)
(0x00000000, 0x001a79f8)
(0x71322e63, 0x41ba161a)
Time based epoching
(0x00777fa0, 0x5dc3f560)
(0x5ba36127, 0x195feae1)
Input signal
(0x512a166f, 0x5c3ef83f)
Epoch 1 duration (in sec)
1
1.000000
false
(0x512a166f, 0x5c3ef83f)
Epoch 1 intervals (in sec)
0.5
0.062500
false
(0x17ee7c08, 0x94c14893)
(0x1fa7a38f, 0x54edbe0b)
576
(0x207c9054, 0x3c841b63)
784
(0x4e7b798a, 0x183beafb)
(0xc5ff41e9, 0xccc59a01)
(0xc46b3d00, 0x3e0454e1)
(0x00000000, 0x00183f8d)
(0x000003e3, 0x0000571b)
(0x5045ebd9, 0x67325c0b)
0
(0x00002363, 0x00000391)
(0x2b88852d, 0x43d7a772)
0
(0x00003a5f, 0x000071e4)
(0x0000241d, 0x0000786c)
0
(0x00004927, 0x000042c3)
(0x000078f6, 0x0000791d)
0
(0x00004eb1, 0x000045d0)
(0x1f046833, 0x21a8a876)
1
(0x00005363, 0x00001229)
(0x00005607, 0x00006ea6)
0
(0x000053a4, 0x000073b5)
(0x0000241d, 0x0000786b)
0
(0x00005612, 0x0000591e)
(0x1396fde6, 0x1c649749)
0
(0x00005bee, 0x00000d2a)
(0x00005062, 0x000009d7)
0
(0x0000634d, 0x00007fcf)
(0x000044b9, 0x00003dac)
0
(0x00006c36, 0x000012e4)
(0x00005062, 0x000009d7)
2
(0x00007095, 0x000016f0)
(0x000078f6, 0x0000791e)
0
(0x000074b0, 0x00000a55)
(0x000044b9, 0x00003dab)
0
(0x00007af8, 0x00000c53)
(0x558c587f, 0x223f3b66)
0
(0x00007e87, 0x00001ca6)
(0x00005062, 0x000009d7)
1
(0x0fb9552e, 0x72e04408)
(0x0841694e, 0x28e40f42)
0
(0x1658a066, 0x2ce1e19e)
(0x4c1eab6f, 0x0e8c522c)
0
(0x1e23e99e, 0x6b3cf5e1)
(0x5194b6cb, 0x7e001786)
0
(0x2d71872c, 0x4af9aa82)
(0x52a5790c, 0x13d24266)
0
(0x32d337b3, 0x44da5cbe)
(0x0841694e, 0x28e40f42)
1
(0x4dec0a97, 0x70c962ab)
(0x1f046833, 0x21a8a876)
0
(0x63796305, 0x4f357282)
(0x71322e63, 0x41ba161a)
0
(0x640c71b7, 0x1e64acbd)
(0x4c1eab6f, 0x0e8c522c)
1
(0x000054d7, 0x00005ae2)
Display / Classify
(0x473d9a43, 0x97fc0a97)
544
(0x7234b86b, 0x2b8651a5)
768
(0x000054d7, 0x00005ae4)
Compute Covariance
(0x473d9a43, 0x97fc0a97)
544
(0x7234b86b, 0x2b8651a5)
640
(0x000054d7, 0x00005ae5)
Compute Feature
(Need to run previous scenario)
(0x473d9a43, 0x97fc0a97)
544
(0x7234b86b, 0x2b8651a5)
704
(0x05377d7e, 0x41751bb3)
(0x3bcce5d2, 0x43f2d968)
[{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":1,"height":592,"identifier":"(0x00001f6c, 0x000012a7)","name":"Display","parentIdentifier":"(0xffffffff, 0xffffffff)","type":1,"width":826},{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":1,"identifier":"(0x00003bf6, 0x000002ba)","index":0,"name":"Default tab","parentIdentifier":"(0x00001f6c, 0x000012a7)","type":2},{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":2,"dividerPosition":271,"identifier":"(0x00000a43, 0x00000e61)","index":0,"maxDividerPosition":547,"name":"Vertical split","parentIdentifier":"(0x00003bf6, 0x000002ba)","type":4},{"boxIdentifier":"(0x000078f6, 0x0000791d)","childCount":0,"identifier":"(0x000062bf, 0x00005ccc)","index":0,"parentIdentifier":"(0x00000a43, 0x00000e61)","type":3},{"boxIdentifier":"(0x000078f6, 0x0000791e)","childCount":0,"identifier":"(0x00006992, 0x000009bf)","index":1,"parentIdentifier":"(0x00000a43, 0x00000e61)","type":3}]
(0x079d1f09, 0x667c7871)
(0x4c90d4ad, 0x7a2554ec)
320
(0x60bc58ab, 0x7a1b4d83)
(0x790d75b8, 0x3bb90c33)
Thibaut Monseigne
(0x7a3a1558, 0xf12c63c2)
(0x7b814cca, 0x271df6dd)
475
(0x84009d7c, 0x3c4e763b)
(0x8c1fc55b, 0x7b433dc2)
1.0
(0x9f5c4075, 0x4a0d3666)
Classification Riemann Classic Training Example
(0xf36a1567, 0xd13c53da)
(0xf6b2e3fa, 0x7bd43926)
bci-examples
(0xf8034a49, 0x8b3f37cc)
Inria