From 49200600c1d7a295080ae8f928d40e32ca99a30b Mon Sep 17 00:00:00 2001 From: matkovic Date: Sat, 10 Jun 2017 23:48:35 +0200 Subject: First commit --- openvibe-scenarios/free-will-bci-1-acquisition.xml | 1204 ++++++++++++++++++++ .../free-will-bci-2-classifier-trainer.xml | 692 +++++++++++ scripts/python-learning.py | 157 +++ 3 files changed, 2053 insertions(+) create mode 100644 openvibe-scenarios/free-will-bci-1-acquisition.xml create mode 100644 openvibe-scenarios/free-will-bci-2-classifier-trainer.xml create mode 100644 scripts/python-learning.py diff --git a/openvibe-scenarios/free-will-bci-1-acquisition.xml b/openvibe-scenarios/free-will-bci-1-acquisition.xml new file mode 100644 index 0000000..523ade9 --- /dev/null +++ b/openvibe-scenarios/free-will-bci-1-acquisition.xml @@ -0,0 +1,1204 @@ + + OpenViBE + 1.3.0 + + + (0x000011b9, 0x00002dbe) + Stimulation multiplexer + (0x07db4efa, 0x472b0938) + + + (0x6f752dd0, 0x082a321e) + Input stimulations 1 + + + (0x6f752dd0, 0x082a321e) + Input stimulations 2 + + + + + (0x6f752dd0, 0x082a321e) + Multiplexed stimulations + + + + + (0x1fa7a38f, 0x54edbe0b) + -48.000000 + + + (0x1fa963f5, 0x1a638cd4) + 34 + + + (0x207c9054, 0x3c841b63) + 640.000000 + + + (0x4e7b798a, 0x183beafb) + (0xd5da9c1d, 0x1cc7dbf9) + + + (0xad100179, 0xa3c984ab) + 117 + + + (0xc46b3d00, 0x3e0454e1) + (0x00000000, 0x005f6b9c) + + + (0xc73e83ec, 0xf855c5bc) + false + + + (0xc80ce8af, 0xf699f813) + 1 + + + (0xcfad85b0, 0x7c6d841c) + 2 + + + (0xfba64161, 0x65304e21) + + + + + + (0x00001ab6, 0x00007dc8) + Stimulation listener + (0x65731e1d, 0x47de5276) + + + (0x6f752dd0, 0x082a321e) + Stimulation stream 1 + + + + + (0xa88b3667, 0x0871638c) + Log level to use + Debug + Information + false + + + + + (0x1fa7a38f, 0x54edbe0b) + 16.000000 + + + (0x1fa963f5, 0x1a638cd4) + 34 + + + (0x207c9054, 0x3c841b63) + 656.000000 + + + (0x4e7b798a, 0x183beafb) + (0xf451ad91, 0x14c75f86) + + + (0xad100179, 0xa3c984ab) + 121 + + + (0xc46b3d00, 0x3e0454e1) + (0x00000000, 0x00274198) + + + (0xc73e83ec, 0xf855c5bc) + false + + + (0xce18836a, 0x9c0eb403) + 1 + + + (0xcfad85b0, 0x7c6d841c) + 1 + + + (0xfba64161, 0x65304e21) + + + + + + (0x00002750, 0x00001fb2) + Signal display + (0x0055be5f, 0x087bdd12) + + + (0x5ba36127, 0x195feae1) + Data + + + (0x6f752dd0, 0x082a321e) + Stimulations + + + (0x6ab26b81, 0x0f8c02f3) + Channel Units + + + + + (0x5de046a6, 0x086340aa) + Display Mode + Scan + Scan + false + + + (0x33a30739, 0x00d5299b) + Auto vertical scale + Per channel + Per channel + false + + + (0x512a166f, 0x5c3ef83f) + Scale refresh interval (secs) + 5 + 5 + false + + + (0x512a166f, 0x5c3ef83f) + Vertical Scale + 100 + 100 + false + + + (0x512a166f, 0x5c3ef83f) + Vertical Offset + 0 + 0 + false + + + (0x512a166f, 0x5c3ef83f) + Time Scale + 10 + 10 + false + + + (0x2cdb2f0b, 0x12f231ea) + Bottom ruler + true + true + false + + + (0x2cdb2f0b, 0x12f231ea) + Left ruler + false + false + false + + + (0x2cdb2f0b, 0x12f231ea) + Multiview + false + false + false + + + + + (0x1fa7a38f, 0x54edbe0b) + -16.000000 + + + (0x1fa963f5, 0x1a638cd4) + 34 + + + (0x207c9054, 0x3c841b63) + 304.000000 + + + (0x4e7b798a, 0x183beafb) + (0x92c056a7, 0x2dc71aff) + + + (0x527ad68d, 0x16d746a0) + + + + (0xad100179, 0xa3c984ab) + 87 + + + (0xc46b3d00, 0x3e0454e1) + (0x00000000, 0x0020f6e8) + + + (0xc73e83ec, 0xf855c5bc) + false + + + (0xce18836a, 0x9c0eb403) + 9 + + + (0xcfad85b0, 0x7c6d841c) + 3 + + + + + (0x000032a2, 0x00004de0) + Keyboard stimulator + (0x00d317b9, 0x6324c3ff) + + + (0x6f752dd0, 0x082a321e) + Outgoing Stimulations + + + + + (0x330306dd, 0x74a95f98) + Filename + ${Path_Data}/plugins/stimulation/simple-keyboard-to-stimulations.txt + ${Path_Data}/plugins/stimulation/simple-keyboard-to-stimulations.txt + false + + + + + (0x1fa7a38f, 0x54edbe0b) + -176.000000 + + + (0x1fa963f5, 0x1a638cd4) + 23 + + + (0x207c9054, 0x3c841b63) + 528.000000 + + + (0x4e7b798a, 0x183beafb) + (0x8d89d3b7, 0x8339d210) + + + (0xad100179, 0xa3c984ab) + 126 + + + (0xc46b3d00, 0x3e0454e1) + (0x00000000, 0x00450264) + + + (0xc73e83ec, 0xf855c5bc) + false + + + (0xc80ce8af, 0xf699f813) + 1 + + + (0xce18836a, 0x9c0eb403) + 1 + + + + + (0x00003f97, 0x0000658d) + Player Controller + (0x5f426dce, 0x08456e13) + + + (0x6f752dd0, 0x082a321e) + Stimulations + + + + + (0x2c132d6e, 0x44ab0d97) + Stimulation name + OVTK_StimulationId_Label_00 + OVTK_StimulationId_Label_02 + false + + + (0xcc14d8d6, 0xf27ecb73) + Action to perform + Pause + Stop + false + + + + + (0x1fa7a38f, 0x54edbe0b) + -96.000000 + + + (0x1fa963f5, 0x1a638cd4) + 23 + + + (0x207c9054, 0x3c841b63) + 448.000000 + + + (0x4e7b798a, 0x183beafb) + (0x568d148e, 0x650792b3) + + + (0xad100179, 0xa3c984ab) + 105 + + + (0xc46b3d00, 0x3e0454e1) + (0x00000000, 0x0041bb9e) + + + (0xc73e83ec, 0xf855c5bc) + false + + + (0xce18836a, 0x9c0eb403) + 2 + + + (0xcfad85b0, 0x7c6d841c) + 1 + + + + + (0x0000430f, 0x00004aa4) + Acquisition client + (0x35d225cb, 0x3e6e3a5f) + + + (0x403488e7, 0x565d70b6) + Experiment information + + + (0x5ba36127, 0x195feae1) + Signal stream + + + (0x6f752dd0, 0x082a321e) + Stimulations + + + (0x013df452, 0xa3a8879a) + Channel localisation + + + (0x6ab26b81, 0x0f8c02f3) + Channel units + + + + + (0x79a9edeb, 0x245d83fc) + Acquisition server hostname + ${AcquisitionServer_HostName} + ${AcquisitionServer_HostName} + false + + + (0x007deef9, 0x2f3e95c6) + Acquisition server port + 1024 + 1024 + false + + + + + (0x1fa7a38f, 0x54edbe0b) + -192.000000 + + + (0x1fa963f5, 0x1a638cd4) + 23 + + + (0x207c9054, 0x3c841b63) + 256.000000 + + + (0x4e7b798a, 0x183beafb) + (0x0d4656c0, 0xc95b1fa8) + + + (0xad100179, 0xa3c984ab) + 106 + + + (0xc46b3d00, 0x3e0454e1) + (0x00000000, 0x0061952f) + + + (0xc73e83ec, 0xf855c5bc) + false + + + (0xc80ce8af, 0xf699f813) + 5 + + + (0xce18836a, 0x9c0eb403) + 2 + + + + + (0x00006664, 0x00000edf) + CSV File Writer + (0x2c9312f1, 0x2d6613e5) + + + (0x5ba36127, 0x195feae1) + Input stream + + + + + (0x330306dd, 0x74a95f98) + Filename + record-[$core{date}-$core{time}].csv + E:/Tilen/FAX/2. stopnja/UI/projekt-bci/free-will/signals/record-sig-[$core{date}-$core{time}].csv + false + + + (0x79a9edeb, 0x245d83fc) + Column separator + ; + ; + false + + + (0x007deef9, 0x2f3e95c6) + Precision + 10 + 10 + false + + + + + (0x1fa7a38f, 0x54edbe0b) + -16.000000 + + + (0x1fa963f5, 0x1a638cd4) + 34 + + + (0x207c9054, 0x3c841b63) + 198.000000 + + + (0x4e7b798a, 0x183beafb) + (0x229d1207, 0xebac8ab0) + + + (0x527ad68d, 0x16d746a0) + + + + (0xad100179, 0xa3c984ab) + 92 + + + (0xc46b3d00, 0x3e0454e1) + (0x00000000, 0x016872c7) + + + (0xc73e83ec, 0xf855c5bc) + false + + + (0xce18836a, 0x9c0eb403) + 3 + + + (0xcfad85b0, 0x7c6d841c) + 1 + + + + + (0x00006664, 0x00000ee0) + CSV File Writer + (0x2c9312f1, 0x2d6613e5) + + + (0x6f752dd0, 0x082a321e) + Input stream + + + + + (0x330306dd, 0x74a95f98) + Filename + record-[$core{date}-$core{time}].csv + E:/Tilen/FAX/2. stopnja/UI/projekt-bci/free-will/signals/record-stim-[$core{date}-$core{time}].csv + false + + + (0x79a9edeb, 0x245d83fc) + Column separator + ; + ; + false + + + (0x007deef9, 0x2f3e95c6) + Precision + 10 + 10 + false + + + + + (0x1fa7a38f, 0x54edbe0b) + 32.000000 + + + (0x1fa963f5, 0x1a638cd4) + 34 + + + (0x207c9054, 0x3c841b63) + 512.000000 + + + (0x4e7b798a, 0x183beafb) + (0x229d1207, 0xebac8ab0) + + + (0x527ad68d, 0x16d746a0) + + + + (0xad100179, 0xa3c984ab) + 92 + + + (0xc46b3d00, 0x3e0454e1) + (0x00000000, 0x0020f6e8) + + + (0xc73e83ec, 0xf855c5bc) + false + + + (0xce18836a, 0x9c0eb403) + 3 + + + (0xcfad85b0, 0x7c6d841c) + 1 + + + + + (0x00007957, 0x000045fc) + Stimulation Filter + (0x02f96101, 0x5e647cb8) + + + (0x6f752dd0, 0x082a321e) + Stimulations + + + + + (0x6f752dd0, 0x082a321e) + Modified Stimulations + + + + + (0x09e59e57, 0x8d4a553a) + Default action + Reject + Reject + false + + + (0x512a166f, 0x5c3ef83f) + Time range begin + 0 + 0 + false + + + (0x512a166f, 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+ (0x6267b5c5, 0x676e3e42) + 198 + + + + + (0x00003a78, 0x00004f9a) + + (0x000032a2, 0x00004de0) + 0 + + + (0x00007957, 0x000045fd) + 0 + + + + (0x1b32c44c, 0x1905e0e9) + -158 + + + (0x358ae8b5, 0x0f8bacd1) + 528 + + + (0x3f0a3b27, 0x570913d2) + -118 + + + (0x6267b5c5, 0x676e3e42) + 688 + + + + + (0x000047d8, 0x00004fe7) + + (0x00007957, 0x000045fc) + 0 + + + (0x000011b9, 0x00002dbe) + 0 + + + + (0x1b32c44c, 0x1905e0e9) + -73 + + + (0x358ae8b5, 0x0f8bacd1) + 576 + + + (0x3f0a3b27, 0x570913d2) + -70 + + + (0x6267b5c5, 0x676e3e42) + 632 + + + + + (0x0000547f, 0x00003283) + + (0x000032a2, 0x00004de0) + 0 + + + (0x00003f97, 0x0000658d) + 0 + + + + (0x1b32c44c, 0x1905e0e9) + -158 + + + (0x358ae8b5, 0x0f8bacd1) + 528 + + + (0x3f0a3b27, 0x570913d2) + -112 + + + (0x6267b5c5, 0x676e3e42) + 448 + + + + + (0x00005e4e, 0x0000148d) + + (0x00007957, 0x000045fd) + 0 + + + (0x000011b9, 0x00002dbe) + 1 + + + + (0x1b32c44c, 0x1905e0e9) + -73 + + + (0x358ae8b5, 0x0f8bacd1) + 688 + + + (0x3f0a3b27, 0x570913d2) + -70 + + + (0x6267b5c5, 0x676e3e42) + 647 + + + + + (0x00006f5f, 0x0000311f) + + (0x0000430f, 0x00004aa4) + 1 + + + (0x00002750, 0x00001fb2) + 0 + + + + (0x1b32c44c, 0x1905e0e9) + -174 + + + (0x358ae8b5, 0x0f8bacd1) + 241 + + + (0x3f0a3b27, 0x570913d2) + -38 + + + (0x6267b5c5, 0x676e3e42) + 289 + + + + + + + + (0x000078f4, 0x0000293f) + <u><b><big>Overview</big></b></u> + +This scenario is used for collecting data from acquisition client + and saving it to a csv file. + +Keyboard stimulations are also logged (and saved to csv file): + <i>a</i> or <i>p</i> mark stimulation time, + <i>z</i> finishes this scenario. + + + (0x473d9a43, 0x97fc0a97) + 928.000000 + + + (0x7234b86b, 0x2b8651a5) + -112.000000 + + + + + + + (0x00001bb7, 0x000007cd) + Default window + 1 + (0xffffffff, 0xffffffff) + (0xffffffff, 0xffffffff) + 1 + + + (0x4c90d4ad, 0x7a2554ec) + 320 + + + (0x7b814cca, 0x271df6dd) + 475 + + + + + (0x00001f0e, 0x00000ff8) + Default tab + 2 + (0x00001bb7, 0x000007cd) + 0 + (0xffffffff, 0xffffffff) + 1 + + + (0x00000e21, 0x000020fb) + Vertical split + 4 + (0x00001f0e, 0x00000ff8) + 0 + (0xffffffff, 0xffffffff) + 2 + + + (0x237e56d2, 0x10cd68ae) + 277 + + + (0x54e45f5b, 0x76c036e2) + 136 + + + + + (0x00000dcf, 0x00002041) + 3 + (0x00000e21, 0x000020fb) + 0 + (0x000032a2, 0x00004de0) + 0 + + + (0x0000709d, 0x0000789f) + 3 + (0x00000e21, 0x000020fb) + 1 + (0x00002750, 0x00001fb2) + 0 + + + + + (0x790d75b8, 0x3bb90c33) + + + + (0x8c1fc55b, 0x7b433dc2) + + + + (0x9f5c4075, 0x4a0d3666) + + + + (0xf36a1567, 0xd13c53da) + + + + (0xf6b2e3fa, 0x7bd43926) + + + + (0xf8034a49, 0x8b3f37cc) + + + + \ No newline at end of file diff --git a/openvibe-scenarios/free-will-bci-2-classifier-trainer.xml b/openvibe-scenarios/free-will-bci-2-classifier-trainer.xml new file mode 100644 index 0000000..233a30e --- /dev/null +++ b/openvibe-scenarios/free-will-bci-2-classifier-trainer.xml @@ -0,0 +1,692 @@ + + OpenViBE + 1.3.0 + + + (0x00000124, 0x0000214f) + Python scripting + (0x5dc4f669, 0xd3fd4d64) + + + (0x6f752dd0, 0x082a321e) + EndStimulation + + + + + (0x007deef9, 0x2f3e95c6) + Clock frequency (Hz) + 64 + 64 + false + + + (0xb0d0db45, 0x49cbc34a) + Script + + E:/Tilen/FAX/2. stopnja/UI/projekt-bci/free-will/scripts/python-learning.py + false + + + (0x330306dd, 0x74a95f98) + InputCSVSignal + + E:/Tilen/FAX/2. stopnja/UI/projekt-bci/free-will/signals/record-sig-[2017.05.15-23.11.00].csv + false + + + (0x330306dd, 0x74a95f98) + InputCSVStimulations + + E:/Tilen/FAX/2. stopnja/UI/projekt-bci/free-will/signals/record-stim-[2017.05.15-23.11.00].csv + false + + + (0x330306dd, 0x74a95f98) + SaveFile + + + false + + + (0x007deef9, 0x2f3e95c6) + WindowSize (ms) + 100 + 100 + false + + + (0x007deef9, 0x2f3e95c6) + NumOfPrevWindows + 5 + 4 + false + + + (0x007deef9, 0x2f3e95c6) + NumOfWindowsBefore + 0 + 4 + false + + + (0x007deef9, 0x2f3e95c6) + NumOfWindowsAfter + 0 + 0 + false + + + (0x007deef9, 0x2f3e95c6) + K-folds + 4 + 10 + false + + + + + (0x17ee7c08, 0x94c14893) + + + + (0x1fa7a38f, 0x54edbe0b) + 16.000000 + + + (0x1fa963f5, 0x1a638cd4) + 34 + + + (0x207c9054, 0x3c841b63) + 224.000000 + + + (0x30a4e5c9, 0x83502953) + + + + (0x4e7b798a, 0x183beafb) + (0x2a651510, 0xb4fad0d4) + + + (0x527ad68d, 0x16d746a0) + + + + (0x61d11811, 0x71e65362) + + + + (0xad100179, 0xa3c984ab) + 102 + + + (0xc46b3d00, 0x3e0454e1) + (0x00000000, 0x00055fbe) + + + (0xc67a01dc, 0x28ce06c1) + + + + (0xc73e83ec, 0xf855c5bc) + false + + + (0xce18836a, 0x9c0eb403) + 2 + + + (0xf191c1c8, 0xa0123976) + + + + (0xfba64161, 0x65304e21) + + + + + + (0x00000d51, 0x000039af) + CSV File Reader + (0x641d0717, 0x02884107) + + + (0x6f752dd0, 0x082a321e) + Output stream + + + + + (0x330306dd, 0x74a95f98) + Filename + + E:/Tilen/FAX/2. stopnja/UI/projekt-bci/free-will/signals/record-stim-[2017.05.15-23.11.00].csv + false + + + (0x79a9edeb, 0x245d83fc) + Column separator + ; + ; + false + + + (0x2cdb2f0b, 0x12f231ea) + Don't use the file time + false + false + false + + + (0x007deef9, 0x2f3e95c6) + Unused parameter + 32 + 0 + false + + + + + (0x1fa7a38f, 0x54edbe0b) + -128.000000 + + + (0x1fa963f5, 0x1a638cd4) + 45 + + + (0x207c9054, 0x3c841b63) + 496.000000 + + + (0x30a4e5c9, 0x83502953) + + + + (0x4e7b798a, 0x183beafb) + (0x3bf57676, 0xad3aaefa) + + + (0xad100179, 0xa3c984ab) + 97 + + + (0xc46b3d00, 0x3e0454e1) + (0x00000000, 0x0001d5c4) + + + (0xc73e83ec, 0xf855c5bc) + true + + + (0xc80ce8af, 0xf699f813) + 1 + + + (0xce18836a, 0x9c0eb403) + 4 + + + + + (0x000055e6, 0x00000489) + Player Controller + (0x5f426dce, 0x08456e13) + + + (0x6f752dd0, 0x082a321e) + Stimulations + + + + + (0x2c132d6e, 0x44ab0d97) + Stimulation name + OVTK_StimulationId_Label_00 + OVTK_StimulationId_TrialStop + false + + + (0xcc14d8d6, 0xf27ecb73) + Action to perform + Pause + Stop + false + + + + + (0x1fa7a38f, 0x54edbe0b) + 96.000000 + + + (0x1fa963f5, 0x1a638cd4) + 23 + + + (0x207c9054, 0x3c841b63) + 240.000000 + + + (0x4e7b798a, 0x183beafb) + (0x568d148e, 0x650792b3) + + + (0xad100179, 0xa3c984ab) + 105 + + + (0xc46b3d00, 0x3e0454e1) + (0x00000000, 0x00284de3) + + + (0xc73e83ec, 0xf855c5bc) + false + + + (0xce18836a, 0x9c0eb403) + 2 + + + (0xcfad85b0, 0x7c6d841c) + 1 + + + + + (0x00006c4c, 0x000002b3) + CSV File Reader + (0x641d0717, 0x02884107) + + + (0x5ba36127, 0x195feae1) + Output stream + + + + + (0x330306dd, 0x74a95f98) + Filename + + E:/Tilen/FAX/2. stopnja/UI/projekt-bci/free-will/signals/record-sig-[2017.05.15-23.11.00].csv + false + + + (0x79a9edeb, 0x245d83fc) + Column separator + ; + ; + false + + + (0x2cdb2f0b, 0x12f231ea) + Don't use the file time + false + false + false + + + (0x007deef9, 0x2f3e95c6) + Samples per buffer + 32 + 32 + false + + + + + (0x1fa7a38f, 0x54edbe0b) + -128.000000 + + + (0x1fa963f5, 0x1a638cd4) + 45 + + + (0x207c9054, 0x3c841b63) + 384.000000 + + + (0x30a4e5c9, 0x83502953) + + + + (0x4e7b798a, 0x183beafb) + (0x3bf57676, 0xad3aaefa) + + + (0xad100179, 0xa3c984ab) + 97 + + + (0xc46b3d00, 0x3e0454e1) + (0x00000000, 0x0007fed6) + + + (0xc73e83ec, 0xf855c5bc) + true + + + (0xc80ce8af, 0xf699f813) + 1 + + + (0xce18836a, 0x9c0eb403) + 4 + + + + + (0x00006ed7, 0x000003cf) + Signal display + (0x0055be5f, 0x087bdd12) + + + (0x5ba36127, 0x195feae1) + Data + + + (0x6f752dd0, 0x082a321e) + Stimulations + + + (0x6ab26b81, 0x0f8c02f3) + Channel Units + + + + + (0x5de046a6, 0x086340aa) + Display Mode + Scan + Scan + false + + + (0x33a30739, 0x00d5299b) + Auto vertical scale + Per channel + Per channel + false + + + (0x512a166f, 0x5c3ef83f) + Scale refresh interval (secs) + 5 + 5 + false + + + (0x512a166f, 0x5c3ef83f) + Vertical Scale + 100 + 100 + false + + + (0x512a166f, 0x5c3ef83f) + Vertical Offset + 0 + 0 + false + + + (0x512a166f, 0x5c3ef83f) + Time Scale + 10 + 10 + false + + + (0x2cdb2f0b, 0x12f231ea) + Bottom ruler + true + true + false + + + (0x2cdb2f0b, 0x12f231ea) + Left ruler + false + false + false + + + (0x2cdb2f0b, 0x12f231ea) + Multiview + false + false + false + + + + + (0x1fa7a38f, 0x54edbe0b) + -64.000000 + + + (0x1fa963f5, 0x1a638cd4) + 45 + + + (0x207c9054, 0x3c841b63) + 432.000000 + + + (0x4e7b798a, 0x183beafb) + (0x92c056a7, 0x2dc71aff) + + + (0x527ad68d, 0x16d746a0) + + + + (0xad100179, 0xa3c984ab) + 87 + + + (0xc46b3d00, 0x3e0454e1) + (0x00000000, 0x00024b35) + + + (0xc73e83ec, 0xf855c5bc) + true + + + (0xce18836a, 0x9c0eb403) + 9 + + + (0xcfad85b0, 0x7c6d841c) + 3 + + + + + + + (0x00000e16, 0x00006760) + + (0x00006c4c, 0x000002b3) + 0 + + + (0x00006ed7, 0x000003cf) + 0 + + + + (0x1b32c44c, 0x1905e0e9) + -99 + + + (0x358ae8b5, 0x0f8bacd1) + 384 + + + (0x3f0a3b27, 0x570913d2) + -91 + + + (0x6267b5c5, 0x676e3e42) + 417 + + + + + (0x000011ac, 0x000063f9) + + (0x00000d51, 0x000039af) + 0 + + + (0x00006ed7, 0x000003cf) + 1 + + + + (0x1b32c44c, 0x1905e0e9) + -99 + + + (0x358ae8b5, 0x0f8bacd1) + 496 + + + (0x3f0a3b27, 0x570913d2) + -91 + + + (0x6267b5c5, 0x676e3e42) + 432 + + + + + (0x00004464, 0x0000753e) + + (0x00000124, 0x0000214f) + 0 + + + (0x000055e6, 0x00000489) + 0 + + + + (0x1b32c44c, 0x1905e0e9) + 39 + + + (0x358ae8b5, 0x0f8bacd1) + 224 + + + (0x3f0a3b27, 0x570913d2) + 80 + + + (0x6267b5c5, 0x676e3e42) + 240 + + + + + + + + (0x6160f9b8, 0x37b083c2) + <u><b><big>Overview</big></b></u> + +This scenario is used to train data for the "free will experiment". +Main Python script settings are: + signals (csv) + keyboard stimulations (csv) + output file (python pickle) - trained (e.g. ./python-out-[$core{date}-$core{time}].pkl) + + + + (0x473d9a43, 0x97fc0a97) + -96.000000 + + + (0x7234b86b, 0x2b8651a5) + -64.000000 + + + + + + + (0x00003e01, 0x000020d2) + 3 + (0xffffffff, 0xffffffff) + (0x00006ed7, 0x000003cf) + 0 + + + (0x0c60317a, 0x7480157f) + Default window + 1 + (0xffffffff, 0xffffffff) + (0xffffffff, 0xffffffff) + 1 + + + (0x4c90d4ad, 0x7a2554ec) + 1 + + + (0x7b814cca, 0x271df6dd) + 1 + + + + + (0x4eff2d5e, 0x057e5a93) + Default tab + 2 + (0x0c60317a, 0x7480157f) + 0 + (0xffffffff, 0xffffffff) + 1 + + + (0x00b5ee2a, 0x40e0a42c) + Empty + 0 + (0x4eff2d5e, 0x057e5a93) + 0 + (0xffffffff, 0xffffffff) + 0 + + + + + (0x790d75b8, 0x3bb90c33) + Yann Renard / Fabien Lotte + + + (0x8c1fc55b, 0x7b433dc2) + + + + (0x9f5c4075, 0x4a0d3666) + Classifier Training + + + (0xf36a1567, 0xd13c53da) + + + + (0xf6b2e3fa, 0x7bd43926) + Motor Imagery + + + (0xf8034a49, 0x8b3f37cc) + INRIA + + + \ No newline at end of file diff --git a/scripts/python-learning.py b/scripts/python-learning.py new file mode 100644 index 0000000..d144678 --- /dev/null +++ b/scripts/python-learning.py @@ -0,0 +1,157 @@ +import numpy as np +import pandas +from math import ceil, floor +from sklearn.model_selection import train_test_split +from sklearn import svm +from sklearn.model_selection import KFold, StratifiedKFold, permutation_test_score +from sklearn import linear_model +from sklearn.svm import SVC +import pickle +import matplotlib.pyplot as plt +import numpy.fft as fft +from sklearn import datasets + +class MyOVBox(OVBox): + def __init__(self): + OVBox.__init__(self) + # Names of CSV files + self.signalFileName = "" + self.stimFileName = "" + # Name of Save File + self.saveFileName = "" + # other variables + self.windowSize = 0 # window size in ms + self.numOfPreviousWindowsAsOne = 0 # number of windows before actual stimulation to be marked as 1 + self.numOfWindowsBefore = 0 # number of windows before those marked as 1, to be marked as 0 + self.numOfWindowsAfter = 0 # number of windows after those marked as 1, to be marked as 0 + + + def filter_signal(self, sampleRate, numberOfSamplesWindow, stimulationTimes, splittedSignal): + """ returns tuple of filtered (signal chunks, classes) """ + splittedSignal_filtrd = [] + classes_filtrd = [] + + temp_classes = np.zeros(len(splittedSignal)) + + for stim in stimulationTimes: + index = int(floor(stim*sampleRate/numberOfSamplesWindow)) + temp_classes[index] = 1 + for i in range(1, self.numOfPreviousWindowsAsOne): + temp_classes[index-i] = 1 + + tmp_cls_winds = temp_classes[(index - self.numOfPreviousWindowsAsOne - self.numOfWindowsBefore):index+self.numOfWindowsAfter] + tmp_sig_winds = np.concatenate(splittedSignal[(index - self.numOfPreviousWindowsAsOne - self.numOfWindowsBefore):index+self.numOfWindowsAfter]) + + if len(tmp_sig_winds)/len(tmp_cls_winds)!=numberOfSamplesWindow: # if np.array_split does not split in equal windows + tmp_sig_winds = np.lib.pad(tmp_sig_winds, ((0, int(len(tmp_cls_winds)*numberOfSamplesWindow-len(tmp_sig_winds))),(0, 0)), 'edge') # pad with same values on end of array + + classes_filtrd.extend(tmp_cls_winds) + splittedSignal_filtrd.extend(np.array_split(tmp_sig_winds, len(tmp_cls_winds))) + + return (splittedSignal_filtrd, classes_filtrd) + + + def avg_k_fold(self, data, classes, k=4): + """ return average CA of k-fold cross validation """ + avg_val = 0 + + kf = KFold(n_splits=k) + for train, test in kf.split(data): + clf = svm.SVC(kernel='linear', C=1).fit(data[train], classes[train]) + cur_score = clf.score(data[test], classes[test]) + avg_val += cur_score + # print cur_score + return avg_val/k + + + def permutation_significance_classification_score(self, X, y, k_folds=4): + n_classes = np.unique(y).size + + svm = SVC(kernel='linear') + cv = StratifiedKFold(k_folds) + + score, permutation_scores, pvalue = permutation_test_score(svm, X, y, scoring="accuracy", cv=cv, n_permutations=200, n_jobs=1) + print("Classification score %s (pvalue : %s)" % (score, pvalue)) + + plt.hist(permutation_scores, 20, label='Permutation scores') + ylim = plt.ylim() + plt.plot(2 * [score], ylim, '--g', linewidth=3, + label='Classification Score' + ' (pvalue %s)' % pvalue) + plt.plot(2 * [1. / n_classes], ylim, '--k', linewidth=3, label='Luck') + + plt.ylim(ylim) + plt.legend() + plt.xlabel('Score') + plt.show() + + + def initialize(self): + # Names of CSV files + self.signalFileName = self.setting['InputCSVSignal'] + self.stimFileName = self.setting['InputCSVStimulations'] + # Name of Save File + self.saveFileName = self.setting['SaveFile'] + # other variables + self.windowSize = int(self.setting['WindowSize (ms)']) # in ms + self.numOfPreviousWindowsAsOne = int(self.setting['NumOfPrevWindows']) + self.numOfWindowsBefore = int(self.setting['NumOfWindowsBefore'])-1 + self.numOfWindowsAfter = int(self.setting['NumOfWindowsAfter'])+1 + self.k_folds = int(self.setting['K-folds']) + + print "Reading files..." + # read CSV files + signalArray = pandas.read_csv(self.signalFileName, delimiter=";", encoding="utf-8-sig") + stimsArray = pandas.read_csv(self.stimFileName, delimiter=";", encoding="utf-8-sig") + print "Files read!" + + # sort information from tables (pandas dataframe) + time = signalArray['Time (s)'] + electrodes = signalArray.iloc[:, 1:signalArray.shape[1]-1] + sampleRate = signalArray['Sampling Rate'][0] + stimulationTimes = stimsArray['Time (s)'] + + numberOfSamplesWindow = floor(self.windowSize / ((1/sampleRate)*1000)) # number of samples for approximately self.windowSize ms + + splittedSignal = np.array_split(electrodes, ceil(len(time)/numberOfSamplesWindow)) # split signal into chunks of specified length + + s_c = self.filter_signal(sampleRate, numberOfSamplesWindow, stimulationTimes, splittedSignal) # filter signal and return sparsed version of chunks and assign classes + splittedSignal_filtrd = s_c[0] + classes_filtrd = s_c[1] + + splittedSignal_filtrd_means = np.array(np.mean(splittedSignal_filtrd, axis=1)) # for each window calculate mean value + # additional attributes could be added besides splittedSignal_filtrd_means + classes_filtrd = np.array(classes_filtrd) + + # print average k-fold CA + print "Average " + str(self.k_folds) + "-folds value: " + str(self.avg_k_fold(splittedSignal_filtrd_means, classes_filtrd, k=self.k_folds)) + #self.permutation_significance_classification_score(splittedSignal_filtrd_means, classes_filtrd, k_folds=2) # k_folds=2, last long if k is bigger + + if self.saveFileName: + clf = svm.SVC(kernel='linear', C=1).fit(splittedSignal_filtrd_means, classes_filtrd) + clf.fit(splittedSignal_filtrd_means, classes_filtrd) + + print "Saving to pickle file: " + self.saveFileName + pickle.dump(clf, open(self.saveFileName, 'wb')) + print "Learned score: " + str(clf.score(splittedSignal_filtrd_means, classes_filtrd)) + + # send finish stimulation output (for OpenViBE) + self.finishBySendingStimulation(32774) # OVTK_StimulationId_TrialStop code + + + def finishBySendingStimulation(self, stimulationCode): + stimSetFinish = OVStimulationSet(self.getCurrentTime(), self.getCurrentTime()+1./self.getClock()) + stimSetFinish.append(OVStimulation(stimulationCode, self.getCurrentTime(), 0.)) + self.output[0].append(stimSetFinish) + + + def process(self): + + return + + def uninitialize(self): + # nop + + return + +box = MyOVBox() -- cgit v1.2.1 From 887ba2a917f50124ee63d06b574ccc40f78dbe16 Mon Sep 17 00:00:00 2001 From: matkovic Date: Sun, 11 Jun 2017 00:06:19 +0200 Subject: Create README.md --- README.md | 14 ++++++++++++++ 1 file changed, 14 insertions(+) create mode 100644 README.md diff --git a/README.md b/README.md new file mode 100644 index 0000000..ccd1087 --- /dev/null +++ b/README.md @@ -0,0 +1,14 @@ +# free-will +AI project - Disprove the existence of the free will + +My attempt for the "Free will experiment" using Emotiv EPOC EEG headset and OpenViBE platform. This project could have been done better with additional filters to get rid of noise/blinks etc. and more precise EEG data. + +For receiving data from the EPOC headset, I used hemokit (https://github.com/nh2/hemokit) with following command: +hemokit-dump.exe --format sensorbytes --serve 127.0.0.1:1337 --realtime + +OpenViBE collects this data with acquisition server as described in https://github.com/nh2/hemokit/wiki/OpenVibe . + +OpenViBE scenarios that I used are located in the openvibe-scenarios folder: +* free-will-bci-1-acquisition.xml - saving EEG data to CSV file, saving keyboard button presses into CSV file +* free-will-bci-2-classifier-trainer.xml - scenario with just a python script (see scripts/python-learning.py) + -- cgit v1.2.1 From d4c1052d4a5a0e2fdaa7971f7f322a6b6462fe5a Mon Sep 17 00:00:00 2001 From: matkovic Date: Sun, 11 Jun 2017 00:11:06 +0200 Subject: Add captured signals (+ keyboard times) --- signals/record-sig-[2017.05.08-11.08.24].csv | 3 +++ signals/record-sig-[2017.05.15-23.11.00].csv | 3 +++ signals/record-stim-[2017.05.08-11.08.24].csv | 3 +++ signals/record-stim-[2017.05.15-23.11.00].csv | 3 +++ 4 files changed, 12 insertions(+) create mode 100644 signals/record-sig-[2017.05.08-11.08.24].csv create mode 100644 signals/record-sig-[2017.05.15-23.11.00].csv create mode 100644 signals/record-stim-[2017.05.08-11.08.24].csv create mode 100644 signals/record-stim-[2017.05.15-23.11.00].csv diff --git a/signals/record-sig-[2017.05.08-11.08.24].csv b/signals/record-sig-[2017.05.08-11.08.24].csv new file mode 100644 index 0000000..e727d2b --- /dev/null +++ b/signals/record-sig-[2017.05.08-11.08.24].csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9af970a05711f6c5ef777c819bd896cf5db731ce369c80c195f2bffb8c5af2ea +size 16398409 diff --git a/signals/record-sig-[2017.05.15-23.11.00].csv b/signals/record-sig-[2017.05.15-23.11.00].csv new file mode 100644 index 0000000..c623108 --- /dev/null +++ b/signals/record-sig-[2017.05.15-23.11.00].csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e4f1750269a1e1fd3305e2012297e7e3f7b5d535dd6b57251dd7acae02364e52 +size 4395593 diff --git a/signals/record-stim-[2017.05.08-11.08.24].csv b/signals/record-stim-[2017.05.08-11.08.24].csv new file mode 100644 index 0000000..c54b937 --- /dev/null +++ b/signals/record-stim-[2017.05.08-11.08.24].csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:205a85f943210536625e56d531e9d81cf320df9e281ded5d3610a70c244c3878 +size 2739 diff --git a/signals/record-stim-[2017.05.15-23.11.00].csv b/signals/record-stim-[2017.05.15-23.11.00].csv new file mode 100644 index 0000000..a5e0733 --- /dev/null +++ b/signals/record-stim-[2017.05.15-23.11.00].csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:96e4d4790e880c297136025b67ac65210974e319f48c8b0c29a26e3f4dbdccdb +size 933 -- cgit v1.2.1 From f168b0bdb56fbde12425968164ee9a53fc483294 Mon Sep 17 00:00:00 2001 From: matkovic Date: Fri, 16 Jun 2017 22:44:03 +0200 Subject: Create LICENSE --- LICENSE | 674 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 674 insertions(+) create mode 100644 LICENSE diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..9cecc1d --- /dev/null +++ b/LICENSE @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. By contrast, +the GNU General Public License is intended to guarantee your freedom to +share and change all versions of a program--to make sure it remains free +software for all its users. We, the Free Software Foundation, use the +GNU General Public License for most of our software; it applies also to +any other work released this way by its authors. You can apply it to +your programs, too. + + When we speak of free software, we are referring to freedom, not +price. Our General Public Licenses are designed to make sure that you +have the freedom to distribute copies of free software (and charge for +them if you wish), that you receive source code or can get it if you +want it, that you can change the software or use pieces of it in new +free programs, and that you know you can do these things. + + To protect your rights, we need to prevent others from denying you +these rights or asking you to surrender the rights. Therefore, you have +certain responsibilities if you distribute copies of the software, or if +you modify it: responsibilities to respect the freedom of others. + + For example, if you distribute copies of such a program, whether +gratis or for a fee, you must pass on to the recipients the same +freedoms that you received. You must make sure that they, too, receive +or can get the source code. And you must show them these terms so they +know their rights. + + Developers that use the GNU GPL protect your rights with two steps: +(1) assert copyright on the software, and (2) offer you this License +giving you legal permission to copy, distribute and/or modify it. + + For the developers' and authors' protection, the GPL clearly explains +that there is no warranty for this free software. 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If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + {project} Copyright (C) {year} {fullname} + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. -- cgit v1.2.1 From e97c0f1d1224f3c8f8d013ec6e1d549e4d946e35 Mon Sep 17 00:00:00 2001 From: matkovic Date: Fri, 16 Jun 2017 23:05:21 +0200 Subject: Update information box --- .../free-will-bci-2-classifier-trainer.xml | 37 ++++++++++++---------- 1 file changed, 20 insertions(+), 17 deletions(-) diff --git a/openvibe-scenarios/free-will-bci-2-classifier-trainer.xml b/openvibe-scenarios/free-will-bci-2-classifier-trainer.xml index 233a30e..b665bb8 100644 --- a/openvibe-scenarios/free-will-bci-2-classifier-trainer.xml +++ b/openvibe-scenarios/free-will-bci-2-classifier-trainer.xml @@ -91,7 +91,7 @@ (0x1fa7a38f, 0x54edbe0b) - 16.000000 + 48.000000 (0x1fa963f5, 0x1a638cd4) @@ -99,7 +99,7 @@ (0x207c9054, 0x3c841b63) - 224.000000 + 320.000000 (0x30a4e5c9, 0x83502953) @@ -125,10 +125,6 @@ (0xc46b3d00, 0x3e0454e1) (0x00000000, 0x00055fbe) - - (0xc67a01dc, 0x28ce06c1) - - (0xc73e83ec, 0xf855c5bc) false @@ -259,7 +255,7 @@ (0x1fa7a38f, 0x54edbe0b) - 96.000000 + 128.000000 (0x1fa963f5, 0x1a638cd4) @@ -267,7 +263,7 @@ (0x207c9054, 0x3c841b63) - 240.000000 + 320.000000 (0x4e7b798a, 0x183beafb) @@ -577,19 +573,19 @@ (0x1b32c44c, 0x1905e0e9) - 39 + 71 (0x358ae8b5, 0x0f8bacd1) - 224 + 320 (0x3f0a3b27, 0x570913d2) - 80 + 112 (0x6267b5c5, 0x676e3e42) - 240 + 320 @@ -601,15 +597,22 @@ <u><b><big>Overview</big></b></u> This scenario is used to train data for the "free will experiment". +See the python scripts for a deeper look into the code. + Main Python script settings are: - signals (csv) - keyboard stimulations (csv) - output file (python pickle) - trained (e.g. ./python-out-[$core{date}-$core{time}].pkl) - + <b>Script</b> - python script for learning and other ML methods + <b>InputCSVSignal</b> - captured EEG signal + <b>InputCSVStimulation</b> - captured keyboard times + <b>SaveFile</b> - if you want to save learning hypotesis into a (python pickle) file (e.g. ./python-out-[$core{date}-$core{time}].pkl) + <b>WindowSize (ms)</b> - size of windows/chunks in milliseconds + <b>NumberOfPrevWindows</b> - number of windows, to be marked as class 1 (just before the button was pressed) + <b>NumberOfWindowsBefore</b> - number of windows, to be marked as class 0 (before those marked as 1) + <b>NumberOfWindowsAfter</b> - number of windows, to be marked as class 0 (after those marked as 1) + <b>K-folds</b> - K-fold cross validation (0x473d9a43, 0x97fc0a97) - -96.000000 + -94.000000 (0x7234b86b, 0x2b8651a5) -- cgit v1.2.1 From 5740ed3123e97d5c424340d613515d965087aefc Mon Sep 17 00:00:00 2001 From: matkovic Date: Fri, 16 Jun 2017 23:08:32 +0200 Subject: Update readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ccd1087..378a2fd 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # free-will AI project - Disprove the existence of the free will -My attempt for the "Free will experiment" using Emotiv EPOC EEG headset and OpenViBE platform. This project could have been done better with additional filters to get rid of noise/blinks etc. and more precise EEG data. +My attempt for the "Free will experiment" using Emotiv EPOC EEG headset and OpenViBE platform (the idea for the experiment can be seen in this youtube video - https://www.youtube.com/watch?v=lmI7NnMqwLQ ). This project could have been done better with additional filters to get rid of noise/blinks etc. and more precise EEG data. For receiving data from the EPOC headset, I used hemokit (https://github.com/nh2/hemokit) with following command: hemokit-dump.exe --format sensorbytes --serve 127.0.0.1:1337 --realtime -- cgit v1.2.1