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- /**
- * \page BoxAlgorithm_MultimodalGrazVisualization Multimodal Graz visualization
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- Detailed description
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Description|
- This is a generalization of the Graz visualization allowing to display the result of the classification on two or more classes, always choosing which action to ask the user.
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Description|
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- Inputs description
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Inputs|
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Inputs|
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Input1|
- The timeline of the events.
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Input1|
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Input2|
- For online use and feedback, the strength of the current activation.
- This can be for example the continuous output from a classifier.
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Input2|
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- Outputs description
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Outputs|
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Outputs|
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Outputs|
- Vector of displayed Bar Size.
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Outputs|
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Outputs|
- Confusion matrix (recommended to save only last matrix if you want to save to csv).
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Outputs|
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- Settings description
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Settings|
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Settings|
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Setting1|
- If true, the user will be shown the modalities.
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Setting1|
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Setting2|
- Selection of the feedback mode:\n
- None = no Feedback\n
- Positive Only = only the expected modality is the predicted\n
- Best Only = Feedback only for the predicted Feedback\n
- All = Feedback of all modality
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Setting2|
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Setting3|
- If true, feedback will be shown only after the trial. Otherwise immediately.
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Setting3|
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Setting4|
- If true, a little matrix will display how many online trials matched the arrow direction.
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Setting4|
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Setting5|
- How many predictions to integrate for computing the feedback bar.
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Setting5|
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Setting6|
- Path to the modality image if we don't show the instruction.
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Setting6|
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Setting7|
- Label of the stimulation for the first class.
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Setting7|
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Setting8|
- Path to the modality image of the first class.
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Setting8|
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Setting9|
- Label of the stimulation for the first class.
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Setting9|
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Setting10|
- Path to the modality image of the second class.
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Setting10|
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- Examples description
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Examples|
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Examples|
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- Miscellaneous description
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- * |OVP_DocBegin_BoxAlgorithm_MultimodalGrazVisualization_Miscellaneous|
- The timeline required by the box can be generated by a Lua stimulator.
- OpenViBE is bundled with a few motor imagery examples illustrating
- this (in folder "bci-examples/").
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- In order to place the markers (stimulations) to the recorded EEG stream accurately in time,
- the box connects to the Acquisition Server's TCP Tagging plugin and forwards the received
- timeline there after rendering. The subsequent scenarios and writers should then use the timeline
- from the Acquisition Server output and not directly from the timeline generating box. But
- due to the long duration of time the motor imagery is typically integrated, this paradigm
- could be less sensitive to marker alignment issues compared e.g. to P300.
- * |OVP_DocEnd_BoxAlgorithm_MultimodalGrazVisualization_Miscellaneous|
- */
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