2
OpenViBE Designer
2.2.0
(0x005e47b5, 0x7accff5e)
(0x79a9edeb, 0x245d83fc)
Directory
${Player_ScenarioDirectory}
${Player_ScenarioDirectory}
(0x004e186f, 0xc24bdf6a)
(0x330306dd, 0x74a95f98)
LWF Mean
Mean-Riemann-LWF.csv
Mean-Riemann-LWF.csv
(0x0027a6f6, 0x70ff3236)
(0x330306dd, 0x74a95f98)
Cor Mean
Mean-Riemann-COR.csv
Mean-Riemann-COR.csv
(0x000e76d1, 0xb1bece46)
(0x007deef9, 0x2f3e95c6)
Stimulation
OVTK_StimulationId_TrainCompleted
OVTK_StimulationId_TrainCompleted
(0x007a31e5, 0x7abc0fe2)
(0x007deef9, 0x2f3e95c6)
Log Level
Information
Information
(0x00000577, 0x0000375f)
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)
384
(0x207c9054, 0x3c841b63)
640
(0x4e7b798a, 0x183beafb)
(0x568d148e, 0x650792b3)
(0xce18836a, 0x9c0eb403)
2
(0xcfad85b0, 0x7c6d841c)
1
(0x000013ef, 0x00004894)
Timeout
(0x24fcd292, 0x5c8f6aa8)
(0x544a003e, 0x6dcba5f6)
Input Stream
(0x007deef9, 0x2f3e95c6)
Timeout delay
5
60
false
(0x2c132d6e, 0x44ab0d97)
Output Stimulation
OVTK_StimulationId_Label_00
OVTK_StimulationId_TrainCompleted
false
(0x1fa7a38f, 0x54edbe0b)
288
(0x207c9054, 0x3c841b63)
640
(0x4e7b798a, 0x183beafb)
(0x1eaee00e, 0xdb05d34e)
(0xc80ce8af, 0xf699f813)
1
(0xce18836a, 0x9c0eb403)
2
(0xcfad85b0, 0x7c6d841c)
1
(0x0000241d, 0x0000786a)
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)
304
(0x207c9054, 0x3c841b63)
480
(0x4e7b798a, 0x183beafb)
(0xa227af77, 0xcd1af363)
(0x666fffff, 0x666fffff)
(0xc80ce8af, 0xf699f813)
1
(0xce18836a, 0x9c0eb403)
3
(0xcfad85b0, 0x7c6d841c)
1
(0x0000241d, 0x0000786b)
COR
(0x9a93af80, 0x6449c826)
(0x5ba36127, 0x195feae1)
Input Signal
(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)
304
(0x207c9054, 0x3c841b63)
800
(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
(0x5261636b, 0x4d455452)
Metric
Riemann
Riemann
false
(0x330306dd, 0x74a95f98)
Filename to save Matrix (CSV, empty to not save)
${Player_ScenarioDirectory}/Mean.csv
$var{Directory}/$var{LWF 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)
384
(0x207c9054, 0x3c841b63)
480
(0x4e7b798a, 0x183beafb)
(0xa6202e43, 0xaf22cef6)
(0x666fffff, 0x666fffff)
(0xc80ce8af, 0xf699f813)
1
(0xce18836a, 0x9c0eb403)
4
(0xcfad85b0, 0x7c6d841c)
2
(0xfba64161, 0x65304e21)
(0x00003a4d, 0x00004a1c)
Covariance Mean Calculator
(0x67955ea4, 0x7c643c0f)
(0x6f752dd0, 0x082a321e)
Input Stimulation
(0x544a003e, 0x6dcba5f6)
Input Covariance Matrix 1
(0x5261636b, 0x4d455452)
Metric
Riemann
Riemann
false
(0x330306dd, 0x74a95f98)
Filename to save Matrix (CSV, empty to not save)
${Player_ScenarioDirectory}/Mean.csv
$var{Directory}/$var{Cor 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)
384
(0x207c9054, 0x3c841b63)
800
(0x4e7b798a, 0x183beafb)
(0xa6202e43, 0xaf22cef6)
(0x666fffff, 0x666fffff)
(0xc80ce8af, 0xf699f813)
1
(0xce18836a, 0x9c0eb403)
4
(0xcfad85b0, 0x7c6d841c)
2
(0xfba64161, 0x65304e21)
(0x00004173, 0x000028f8)
Simple DSP
(0x00e26fa1, 0x1dbab1b2)
(0x5ba36127, 0x195feae1)
Input - A
(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)
(0x0000586a, 0x00001f44)
Time based epoching
(0x00777fa0, 0x5dc3f560)
(0x5ba36127, 0x195feae1)
Input signal
(0x512a166f, 0x5c3ef83f)
Epoch duration (in sec)
1
1.000000
false
(0x512a166f, 0x5c3ef83f)
Epoch intervals (in sec)
0.5
0.5
false
(0x1fa7a38f, 0x54edbe0b)
224
(0x207c9054, 0x3c841b63)
640
(0x4e7b798a, 0x183beafb)
(0xc5ff41e9, 0xccc59a01)
(0xc80ce8af, 0xf699f813)
1
(0xce18836a, 0x9c0eb403)
2
(0xcfad85b0, 0x7c6d841c)
1
(0x00006642, 0x00007f5c)
Noise generator
(0x0e3929f1, 0x15af76b9)
(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
(0x00002145, 0x0000754f)
(0x00000577, 0x0000375f)
0
(0x000026f2, 0x00005da6)
(0x0000241d, 0x0000786a)
0
(0x0000577e, 0x00000ace)
(0x0000241d, 0x0000786b)
0
(0x00006078, 0x00007097)
(0x00003a4d, 0x00004a1c)
1
(0x000065eb, 0x00000ed7)
(0x00003a4d, 0x00004a1b)
0
(0x00006656, 0x00002fdb)
(0x00004173, 0x000028f8)
0
(0x00006ab6, 0x0000519d)
(0x00003a4d, 0x00004a1b)
1
(0x00007b25, 0x00006cb8)
(0x0000586a, 0x00001f44)
0
(0x00007f37, 0x0000790c)
(0x00003a4d, 0x00004a1c)
0
(0x000054d7, 0x00005adf)
Compute Mean
(0x473d9a43, 0x97fc0a97)
288
(0x7234b86b, 0x2b8651a5)
384
(0x000054d7, 0x00005ae0)
Input Signal
(0x473d9a43, 0x97fc0a97)
288
(0x7234b86b, 0x2b8651a5)
144
(0x000054d7, 0x00005ae1)
Compute Covariance
(0x473d9a43, 0x97fc0a97)
288
(0x7234b86b, 0x2b8651a5)
304
(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