2 OpenViBE Designer 2.2.0 (0x004d2731, 0x8fa767ea) (0x79a9edeb, 0x245d83fc) Directory ${Player_ScenarioDirectory}/ ${Player_ScenarioDirectory} (0x0002ec8d, 0xace742b6) (0x330306dd, 0x74a95f98) Model Filename Classification-Riemann-Classic-Training-Model.xml Riemann-Classic-Training-Model.xml (0x001828e2, 0x99ca3842) (0x330306dd, 0x74a95f98) LWF Mean Mean-Riemann-LWF.csv Mean-Riemann-LWF.csv (0x001e2b6a, 0x511e6a8e) (0x330306dd, 0x74a95f98) COR Mean Mean-Riemann-COR.csv Mean-Riemann-COR.csv (0x004939a9, 0xe3c4dec6) (0x007deef9, 0x2f3e95c6) Log Level Information Information (0x0000241d, 0x0000786a) LWF (0x9a93af80, 0x6449c826) (0x5ba36127, 0x195feae1) Input Signal

(0x544a003e, 0x6dcba5f6) Output Covariance Matrix

(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) 240 (0x207c9054, 0x3c841b63) 464 (0x4e7b798a, 0x183beafb) (0xa227af77, 0xcd1af363) (0x666fffff, 0x666fffff) (0xc80ce8af, 0xf699f813) 1 (0xce18836a, 0x9c0eb403) 3 (0xcfad85b0, 0x7c6d841c) 1 (0x0000241d, 0x0000786b) COR (0x9a93af80, 0x6449c826) (0x5ba36127, 0x195feae1) Input Signal

(0x544a003e, 0x6dcba5f6) Output Covariance Matrix

(0x5261636b, 0x45535449) Estimator Covariance Pearson Correlation false (0x2cdb2f0b, 0x12f231ea) Center Data true true false (0xa88b3667, 0x0871638c) Log Level Information $var{Log Level} false (0x1fa7a38f, 0x54edbe0b) 240 (0x207c9054, 0x3c841b63) 816 (0x4e7b798a, 0x183beafb) (0xa227af77, 0xcd1af363) (0x666fffff, 0x666fffff) (0xc80ce8af, 0xf699f813) 1 (0xce18836a, 0x9c0eb403) 3 (0xcfad85b0, 0x7c6d841c) 1 (0x00003577, 0x00001a8d) Timeout (0x24fcd292, 0x5c8f6aa8) (0x544a003e, 0x6dcba5f6) Input Stream

(0x6f752dd0, 0x082a321e) Output Stimulations

(0x007deef9, 0x2f3e95c6) Timeout delay 5 20 false (0x2c132d6e, 0x44ab0d97) Output Stimulation OVTK_StimulationId_Label_00 OVTK_StimulationId_Train false (0x1fa7a38f, 0x54edbe0b) 448 (0x207c9054, 0x3c841b63) 544 (0x4e7b798a, 0x183beafb) (0x1eaee00e, 0xdb05d34e) (0xc46b3d00, 0x3e0454e1) (0x00000000, 0x003b34f4) (0xc73e83ec, 0xf855c5bc) false (0xc80ce8af, 0xf699f813) 1 (0xce18836a, 0x9c0eb403) 2 (0xcfad85b0, 0x7c6d841c) 1 (0x00004173, 0x000028f8) Simple DSP (0x00e26fa1, 0x1dbab1b2) (0x5ba36127, 0x195feae1) Input - A

(0x5ba36127, 0x195feae1) Output

(0x79a9edeb, 0x245d83fc) Equation x (x+1)*10 false (0x1fa7a38f, 0x54edbe0b) 160 (0x207c9054, 0x3c841b63) 640 (0x30a4e5c9, 0x83502953) (0x4e7b798a, 0x183beafb) (0x21889dc4, 0x1126497e) (0x527ad68d, 0x16d746a0) (0xc46b3d00, 0x3e0454e1) (0x00000000, 0x009ba89e) (0xc73e83ec, 0xf855c5bc) false (0xc80ce8af, 0xf699f813) 1 (0xce18836a, 0x9c0eb403) 1 (0xcfad85b0, 0x7c6d841c) 1 (0xfba64161, 0x65304e21) (0x000044b9, 0x00003dab) Tangent Space (0x7c265dba, 0x202c1f70) (0x544a003e, 0x6dcba5f6) Input Covariance Matrix

(0x17341935, 0x152ff448) Output Feature Vector

(0x2cdb2f0b, 0x12f231ea) Tangent Space true true false (0x330306dd, 0x74a95f98) Filename to Reference Matrix (CSV, empty for Identity) ${Player_ScenarioDirectory}/Mean.csv $var{Directory}/$var{LWF Mean} false (0xa88b3667, 0x0871638c) Log Level Information $var{Log Level} false (0x1fa7a38f, 0x54edbe0b) 304 (0x207c9054, 0x3c841b63) 368 (0x4e7b798a, 0x183beafb) (0xbfd23954, 0x40c20e2d) (0x666fffff, 0x666fffff) (0xc80ce8af, 0xf699f813) 1 (0xce18836a, 0x9c0eb403) 3 (0xcfad85b0, 0x7c6d841c) 1 (0x000044b9, 0x00003dac) Squeeze (0x7c265dba, 0x202c1f70) (0x544a003e, 0x6dcba5f6) Input Covariance Matrix

(0x17341935, 0x152ff448) Output Feature Vector

(0x2cdb2f0b, 0x12f231ea) Tangent Space true false false (0x330306dd, 0x74a95f98) Filename to Reference Matrix (CSV, empty for Identity) ${Player_ScenarioDirectory}/Mean.csv false (0xa88b3667, 0x0871638c) Log Level Information $var{Log Level} false (0x1fa7a38f, 0x54edbe0b) 304 (0x207c9054, 0x3c841b63) 544 (0x4e7b798a, 0x183beafb) (0xbfd23954, 0x40c20e2d) (0x666fffff, 0x666fffff) (0xc80ce8af, 0xf699f813) 1 (0xce18836a, 0x9c0eb403) 3 (0xcfad85b0, 0x7c6d841c) 1 (0x000044b9, 0x00003dad) Tangent Space (0x7c265dba, 0x202c1f70) (0x544a003e, 0x6dcba5f6) Input Covariance Matrix

(0x17341935, 0x152ff448) Output Feature Vector

(0x2cdb2f0b, 0x12f231ea) Tangent Space true true false (0x330306dd, 0x74a95f98) Filename to Reference Matrix (CSV, empty for Identity) ${Player_ScenarioDirectory}/Mean.csv $var{Directory}/$var{COR Mean} false (0xa88b3667, 0x0871638c) Log Level Information $var{Log Level} false (0x1fa7a38f, 0x54edbe0b) 304 (0x207c9054, 0x3c841b63) 720 (0x4e7b798a, 0x183beafb) (0xbfd23954, 0x40c20e2d) (0x666fffff, 0x666fffff) (0xc80ce8af, 0xf699f813) 1 (0xce18836a, 0x9c0eb403) 3 (0xcfad85b0, 0x7c6d841c) 1 (0x000044b9, 0x00003dae) Squeeze (0x7c265dba, 0x202c1f70) (0x544a003e, 0x6dcba5f6) Input Covariance Matrix

(0x17341935, 0x152ff448) Output Feature Vector

(0x2cdb2f0b, 0x12f231ea) Tangent Space true false false (0x330306dd, 0x74a95f98) Filename to Reference Matrix (CSV, empty for Identity) ${Player_ScenarioDirectory}/Mean.csv false (0xa88b3667, 0x0871638c) Log Level Information $var{Log Level} false (0x1fa7a38f, 0x54edbe0b) 304 (0x207c9054, 0x3c841b63) 896 (0x4e7b798a, 0x183beafb) (0xbfd23954, 0x40c20e2d) (0x666fffff, 0x666fffff) (0xc80ce8af, 0xf699f813) 1 (0xce18836a, 0x9c0eb403) 3 (0xcfad85b0, 0x7c6d841c) 1 (0x00005062, 0x000009d6) Classifier trainer (0xf3dae8a8, 0x3b444154) (0x6f752dd0, 0x082a321e) Stimulations (0x17341935, 0x152ff448) Features for class 1 (0x17341935, 0x152ff448) Features for class 2 (0x17341935, 0x152ff448) Features for class 3 (0x17341935, 0x152ff448) Features for class 4

(0x6f752dd0, 0x082a321e) Train-completed Flag

(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 OVTK_StimulationId_Label_01 false (0x2c132d6e, 0x44ab0d97) Class 2 label OVTK_StimulationId_Label_02 OVTK_StimulationId_Label_02 false (0x2c132d6e, 0x44ab0d97) Class 3 label OVTK_StimulationId_Label_03 OVTK_StimulationId_Label_03 false (0x2c132d6e, 0x44ab0d97) Class 4 label OVTK_StimulationId_Label_04 OVTK_StimulationId_Label_04 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) 496 (0x207c9054, 0x3c841b63) 656 (0x4e7b798a, 0x183beafb) (0x9de21779, 0x37776c89) (0xc46b3d00, 0x3e0454e1) (0x00000000, 0x0177ec55) (0xc73e83ec, 0xf855c5bc) false (0xc80ce8af, 0xf699f813) 1 (0xce18836a, 0x9c0eb403) 6 (0xcfad85b0, 0x7c6d841c) 3 (0xfba64161, 0x65304e21) (0x00005607, 0x00006ea5) 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) 560 (0x207c9054, 0x3c841b63) 656 (0x4e7b798a, 0x183beafb) (0x568d148e, 0x650792b3) (0xc46b3d00, 0x3e0454e1) (0x00000000, 0x0059275b) (0xc73e83ec, 0xf855c5bc) false (0xce18836a, 0x9c0eb403) 2 (0xcfad85b0, 0x7c6d841c) 1 (0x00006642, 0x00007f5c) Noise generator (0x0e3929f1, 0x15af76b9)

(0x5ba36127, 0x195feae1) Generated signal

(0x007deef9, 0x2f3e95c6) Channel count 4 4 false (0x007deef9, 0x2f3e95c6) Sampling frequency 512 512 false (0x007deef9, 0x2f3e95c6) Generated epoch sample count 32 32 false (0x2e85e95e, 0x8a1a8365) Noise type Uniform Uniform false (0x1fa7a38f, 0x54edbe0b) 112 (0x207c9054, 0x3c841b63) 640 (0x4e7b798a, 0x183beafb) (0x88a4a7f6, 0x4180bdb0) (0xc80ce8af, 0xf699f813) 1 (0xce18836a, 0x9c0eb403) 4 (0x000078f6, 0x00007919) LWF Tangent (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) 368 (0x207c9054, 0x3c841b63) 368 (0x4e7b798a, 0x183beafb) (0x4ff49bdb, 0x9dcf6788) (0xce18836a, 0x9c0eb403) 4 (0xcfad85b0, 0x7c6d841c) 1 (0x000078f6, 0x0000791a) LWF Squeeze (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) 368 (0x207c9054, 0x3c841b63) 544 (0x4e7b798a, 0x183beafb) (0x4ff49bdb, 0x9dcf6788) (0xce18836a, 0x9c0eb403) 4 (0xcfad85b0, 0x7c6d841c) 1 (0x000078f6, 0x0000791b) COR Tangent (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) 368 (0x207c9054, 0x3c841b63) 720 (0x4e7b798a, 0x183beafb) (0x4ff49bdb, 0x9dcf6788) (0xce18836a, 0x9c0eb403) 4 (0xcfad85b0, 0x7c6d841c) 1 (0x000078f6, 0x0000791c) COR Squeeze (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) 368 (0x207c9054, 0x3c841b63) 896 (0x4e7b798a, 0x183beafb) (0x4ff49bdb, 0x9dcf6788) (0xce18836a, 0x9c0eb403) 4 (0xcfad85b0, 0x7c6d841c) 1 (0x00000610, 0x000068f6) (0x0000241d, 0x0000786b) 0 (0x000044b9, 0x00003dae) 0 (0x0000153f, 0x00004061) (0x0000241d, 0x0000786a) 0 (0x000044b9, 0x00003dac) 0 (0x000015b4, 0x00003fc7) (0x000044b9, 0x00003dae) 0 (0x00005062, 0x000009d6) 4 (0x00001f57, 0x00007f16) (0x00004173, 0x000028f8) 0 (0x0000241d, 0x0000786b) 0 (0x0000253c, 0x000007cd) (0x00005062, 0x000009d6) 0 (0x00005607, 0x00006ea5) 0 (0x000025d0, 0x00004e62) (0x000044b9, 0x00003dad) 0 (0x00005062, 0x000009d6) 3 (0x0000267f, 0x0000556d) (0x000044b9, 0x00003dab) 0 (0x000078f6, 0x00007919) 0 (0x000038a3, 0x00001604) (0x0000241d, 0x0000786b) 0 (0x000044b9, 0x00003dad) 0 (0x00003f36, 0x0000065a) (0x00006642, 0x00007f5c) 0 (0x00004173, 0x000028f8) 0 (0x000046df, 0x00001885) (0x00003577, 0x00001a8d) 0 (0x00005062, 0x000009d6) 0 (0x00004966, 0x0000478e) (0x000044b9, 0x00003dae) 0 (0x000078f6, 0x0000791c) 0 (0x00004acb, 0x000025a9) (0x000044b9, 0x00003dac) 0 (0x00005062, 0x000009d6) 2 (0x000065fa, 0x000032fe) (0x000044b9, 0x00003dad) 0 (0x000078f6, 0x0000791b) 0 (0x000068c9, 0x00003f16) (0x0000241d, 0x0000786a) 0 (0x000044b9, 0x00003dab) 0 (0x00006fb3, 0x00007389) (0x00004173, 0x000028f8) 0 (0x0000241d, 0x0000786a) 0 (0x00007539, 0x00000593) (0x000044b9, 0x00003dac) 0 (0x000078f6, 0x0000791a) 0 (0x00007b2f, 0x00001c30) (0x000044b9, 0x00003dab) 0 (0x00005062, 0x000009d6) 1 (0x000054d7, 0x00005adf) Compute Feature (Need to run previous scenario) (0x473d9a43, 0x97fc0a97) 160 (0x7234b86b, 0x2b8651a5) 304 (0x000054d7, 0x00005ae0) Input Signal (0x473d9a43, 0x97fc0a97) 160 (0x7234b86b, 0x2b8651a5) 144 (0x000054d7, 0x00005ae1) Compute Covariance (0x473d9a43, 0x97fc0a97) 160 (0x7234b86b, 0x2b8651a5) 224 (0x000054d7, 0x00005ae2) Display (0x473d9a43, 0x97fc0a97) 176 (0x7234b86b, 0x2b8651a5) 368 (0x000054d7, 0x00005ae3) Classify (0x473d9a43, 0x97fc0a97) 176 (0x7234b86b, 0x2b8651a5) 480 (0x05377d7e, 0x41751bb3) (0x3bcce5d2, 0x43f2d968) [{"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":2,"dividerPosition":271,"identifier":"(0x00001ce3, 0x000060d0)","index":0,"maxDividerPosition":547,"name":"Vertical split","parentIdentifier":"(0x00003bf6, 0x000002ba)","type":4},{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":2,"dividerPosition":125,"identifier":"(0x000075ce, 0x00003e67)","index":0,"maxDividerPosition":255,"name":"Vertical split","parentIdentifier":"(0x00001ce3, 0x000060d0)","type":4},{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":2,"dividerPosition":128,"identifier":"(0x00001e51, 0x000013a9)","index":1,"maxDividerPosition":255,"name":"Vertical split","parentIdentifier":"(0x00001ce3, 0x000060d0)","type":4},{"boxIdentifier":"(0x000078f6, 0x00007919)","childCount":0,"identifier":"(0x00006d43, 0x000076f1)","index":0,"parentIdentifier":"(0x000075ce, 0x00003e67)","type":3},{"boxIdentifier":"(0x000078f6, 0x0000791a)","childCount":0,"identifier":"(0x00003dc4, 0x00004b7c)","index":1,"parentIdentifier":"(0x000075ce, 0x00003e67)","type":3},{"boxIdentifier":"(0x000078f6, 0x0000791b)","childCount":0,"identifier":"(0x00006429, 0x00003b15)","index":0,"parentIdentifier":"(0x00001e51, 0x000013a9)","type":3},{"boxIdentifier":"(0x000078f6, 0x0000791c)","childCount":0,"identifier":"(0x00001547, 0x000040e0)","index":1,"parentIdentifier":"(0x00001e51, 0x000013a9)","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