2 OpenViBE Designer 2.2.0 (0x0037d53c, 0x136be68a) (0x330306dd, 0x74a95f98) Data ${Path_Data}/scenarios/signals/bci-motor-imagery.ov ${Path_Data}/scenarios/signals/bci-motor-imagery.ov (0x00099a0c, 0x26c9af56) (0x79a9edeb, 0x245d83fc) Directory ${Player_ScenarioDirectory} ${Player_ScenarioDirectory} (0x0005b920, 0xe91324e2) (0x330306dd, 0x74a95f98) Mean Mean-Riemann-Left.csv Mean-Riemann.csv (0x00693c40, 0xd96acb2e) (0x2c132d6e, 0x44ab0d97) Stimulation OVTK_StimulationId_TrainCompleted OVTK_GDF_End_Of_Session (0x0031c15c, 0x30582c42) (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) 640 (0x207c9054, 0x3c841b63) 1088 (0x4e7b798a, 0x183beafb) (0xa227af77, 0xcd1af363) (0x666fffff, 0x666fffff) (0xc80ce8af, 0xf699f813) 1 (0xce18836a, 0x9c0eb403) 3 (0xcfad85b0, 0x7c6d841c) 1 (0x0000241d, 0x0000786b) 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) 640 (0x207c9054, 0x3c841b63) 832 (0x4e7b798a, 0x183beafb) (0xa227af77, 0xcd1af363) (0x666fffff, 0x666fffff) (0xc80ce8af, 0xf699f813) 1 (0xce18836a, 0x9c0eb403) 3 (0xcfad85b0, 0x7c6d841c) 1 (0x00003a4d, 0x00004a1b) Covariance Mean Calculator (0x67955ea4, 0x7c643c0f) (0x6f752dd0, 0x082a321e) Input Stimulation (0x544a003e, 0x6dcba5f6) Input Covariance Matrix 1 (0x007f5e0c, 0x69fb23f2) (0x544a003e, 0x6dcba5f6) Input Covariance Matrix 2 (0x544a003e, 0x6dcba5f6) Output Mean Matrix (0x5261636b, 0x4d455452) Metric Riemann Riemann false (0x330306dd, 0x74a95f98) Filename to save Matrix (CSV, empty to not save) ${Player_ScenarioDirectory}/Mean.csv $var{Directory}/$var{Mean} false (0x2c132d6e, 0x44ab0d97) Stimulation name that triggers the compute OVTK_StimulationId_TrainCompleted $var{Stimulation} false (0xa88b3667, 0x0871638c) Log Level Information $var{Log Level} false (0x1fa7a38f, 0x54edbe0b) 704 (0x207c9054, 0x3c841b63) 960 (0x4e7b798a, 0x183beafb) (0xa6202e43, 0xaf22cef6) (0x666fffff, 0x666fffff) (0xc80ce8af, 0xf699f813) 1 (0xce18836a, 0x9c0eb403) 4 (0xcfad85b0, 0x7c6d841c) 2 (0xfba64161, 0x65304e21) (0x0841694e, 0x28e40f42) Stimulation based epoching (0x426163d1, 0x324237b0) (0x5ba36127, 0x195feae1) Input signal (0x6f752dd0, 0x082a321e) Input stimulations (0x5ba36127, 0x195feae1) Epoched signal (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 OVTK_GDF_Right false (0x1fa7a38f, 0x54edbe0b) 528 (0x207c9054, 0x3c841b63) 1088 (0x4e7b798a, 0x183beafb) (0xa79941ae, 0x80708445) (0x11a6038b, 0x7157c283) Generic stream reader (0x6468099f, 0x0370095a) (0x403488e7, 0x565d70b6) Output stream 1 (0x5ba36127, 0x195feae1) Output stream 2 (0x6f752dd0, 0x082a321e) Output stream 3 (0x330306dd, 0x74a95f98) Filename $var{Data} false (0x17ee7c08, 0x94c14893) (0x1fa7a38f, 0x54edbe0b) 224 (0x207c9054, 0x3c841b63) 960 (0x30a4e5c9, 0x83502953) (0x4e7b798a, 0x183beafb) (0xf37b8e7a, 0x1bc33e4e) (0xc46b3d00, 0x3e0454e1) (0x00000000, 0x005e1c11) (0x1396fde6, 0x1c649749) Identity (0x5dffe431, 0x35215c50) (0x6f752dd0, 0x082a321e) Input stream 1 (0x6f752dd0, 0x082a321e) Output stream 1 (0x17ee7c08, 0x94c14893) (0x1fa7a38f, 0x54edbe0b) 336 (0x207c9054, 0x3c841b63) 1088 (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 (0x5ba36127, 0x195feae1) Output stream 1 (0x6f752dd0, 0x082a321e) Output stream 2 (0x17ee7c08, 0x94c14893) (0x1fa7a38f, 0x54edbe0b) 464 (0x207c9054, 0x3c841b63) 960 (0x30a4e5c9, 0x83502953) (0x4e7b798a, 0x183beafb) (0xa8ffe2a3, 0x27038f03) (0x527ad68d, 0x16d746a0) (0xc46b3d00, 0x3e0454e1) (0x00000000, 0x001882ae) (0xfba64161, 0x65304e21) (0x2b88852d, 0x43d7a772) Reference Channel (0x444721ad, 0x78342cf5) (0x5ba36127, 0x195feae1) Input signal (0x5ba36127, 0x195feae1) Output signal (0x79a9edeb, 0x245d83fc) Channel Ref_Nose Nz false (0x666f25e9, 0x3e5738d6) Channel Matching Method Smart Smart false (0x1fa7a38f, 0x54edbe0b) 288 (0x207c9054, 0x3c841b63) 960 (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 (0x5ba36127, 0x195feae1) Epoched signal (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 OVTK_GDF_Left false (0x1fa7a38f, 0x54edbe0b) 528 (0x207c9054, 0x3c841b63) 832 (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) 432 (0x207c9054, 0x3c841b63) 1088 (0x4e7b798a, 0x183beafb) (0x568d148e, 0x650792b3) (0xce18836a, 0x9c0eb403) 2 (0xcfad85b0, 0x7c6d841c) 1 (0x5194b6cb, 0x7e001786) Channel Selector (0x361722e8, 0x311574e8) (0x5ba36127, 0x195feae1) Input signal (0x5ba36127, 0x195feae1) Output 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) 336 (0x207c9054, 0x3c841b63) 960 (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 (0x5ba36127, 0x195feae1) Epoched signal 1 (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) 1088 (0x4e7b798a, 0x183beafb) (0xc5ff41e9, 0xccc59a01) (0xc46b3d00, 0x3e0454e1) (0x00000000, 0x0017fc72) (0x558c587f, 0x223f3b66) Temporal filter (0xb4f9d042, 0x9d79f2e5) (0x5ba36127, 0x195feae1) Input signal (0x5ba36127, 0x195feae1) Filtered 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) 400 (0x207c9054, 0x3c841b63) 960 (0x4e7b798a, 0x183beafb) (0x27a4ceec, 0x876d6384) (0xc46b3d00, 0x3e0454e1) (0x00000000, 0x001a79f8) (0x71322e63, 0x41ba161a) Time based epoching (0x00777fa0, 0x5dc3f560) (0x5ba36127, 0x195feae1) Input signal (0x5ba36127, 0x195feae1) Epoched signal 1 (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) 832 (0x4e7b798a, 0x183beafb) (0xc5ff41e9, 0xccc59a01) (0xc46b3d00, 0x3e0454e1) (0x00000000, 0x00183f8d) (0x000003e3, 0x0000571b) (0x1396fde6, 0x1c649749) 0 (0x5045ebd9, 0x67325c0b) 0 (0x00000512, 0x000003bd) (0x0000241d, 0x0000786a) 0 (0x00003a4d, 0x00004a1b) (0x007f5e0c, 0x69fb23f2) (0x00002363, 0x00000391) (0x11a6038b, 0x7157c283) 1 (0x2b88852d, 0x43d7a772) 0 (0x000028dc, 0x00001228) (0x5194b6cb, 0x7e001786) 0 (0x558c587f, 0x223f3b66) 0 (0x000031d7, 0x00001c67) (0x0000241d, 0x0000786b) 0 (0x00003a4d, 0x00004a1b) 1 (0x000046e6, 0x00003ae4) (0x52a5790c, 0x13d24266) 0 (0x0000241d, 0x0000786a) 0 (0x00004eb1, 0x000045d0) (0x1396fde6, 0x1c649749) 0 (0x1f046833, 0x21a8a876) 1 (0x00005612, 0x0000591e) (0x11a6038b, 0x7157c283) 2 (0x1396fde6, 0x1c649749) 0 (0x00005c2e, 0x00000923) (0x71322e63, 0x41ba161a) 0 (0x0000241d, 0x0000786b) 0 (0x000077dc, 0x00003fb5) (0x1f046833, 0x21a8a876) 1 (0x00003a4d, 0x00004a1b) 0 (0x0fb9552e, 0x72e04408) (0x1f046833, 0x21a8a876) 0 (0x0841694e, 0x28e40f42) 0 (0x1658a066, 0x2ce1e19e) (0x1f046833, 0x21a8a876) 0 (0x4c1eab6f, 0x0e8c522c) 0 (0x1e23e99e, 0x6b3cf5e1) (0x2b88852d, 0x43d7a772) 0 (0x5194b6cb, 0x7e001786) 0 (0x2d71872c, 0x4af9aa82) (0x0841694e, 0x28e40f42) 0 (0x52a5790c, 0x13d24266) 0 (0x32d337b3, 0x44da5cbe) (0x1f046833, 0x21a8a876) 1 (0x0841694e, 0x28e40f42) 1 (0x4dec0a97, 0x70c962ab) (0x558c587f, 0x223f3b66) 0 (0x1f046833, 0x21a8a876) 0 (0x63796305, 0x4f357282) (0x4c1eab6f, 0x0e8c522c) 0 (0x71322e63, 0x41ba161a) 0 (0x640c71b7, 0x1e64acbd) (0x1f046833, 0x21a8a876) 1 (0x4c1eab6f, 0x0e8c522c) 1 (0x000054d7, 0x00005adf) Compute Mean (0x473d9a43, 0x97fc0a97) 592 (0x7234b86b, 0x2b8651a5) 720 (0x000054d7, 0x00005ae1) Compute Covariance (0x473d9a43, 0x97fc0a97) 592 (0x7234b86b, 0x2b8651a5) 640 (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":0,"identifier":"(0x00005d22, 0x00004235)","index":0,"name":"Empty","parentIdentifier":"(0x00003bf6, 0x000002ba)","type":0}] (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 Compute Reference Example (0xf36a1567, 0xd13c53da) (0xf6b2e3fa, 0x7bd43926) bci-examples (0xf8034a49, 0x8b3f37cc) Inria