- Geometric Figure Rotation:-The subject was given 30 seconds to see a complex three dimensional object, after which the object was removed. The subject was instructed to visualize the object being rotated about an axis.
Arithmetic Task:-The subject was asked to perform trivial and nontrivial multiplication. An example of a trivial calculation is to multiply 2 by 3 and nontrivial task is to multiply 49 by 78. The subject was instructed not to vocalize or make movements while solving the problem.
Arithmetic calculation (math): Participants were instructed to imagine solving a series of one by one digit multiplication.
Letter composing (letter): Participants were asked to mentally compose a simple letter in mind without vocalizing through their mouth.
Rubik’s cube rolling (cube) : Participants were asked to imagine a figure of Rubik’s cube being rolled forward.
Visual counting (count): Participants performed mentally counting number from one to nine repeatedly by visualizing the number appearing and disappearing on a blackboard in their mind.
Activation Paradigms for Mental Tasks based BCI
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sumitsoman
- Posts: 16
- Joined: Thu Oct 11, 2012 11:24 am
Activation Paradigms for Mental Tasks based BCI
There are several papers which build BCI systems that use mental tasks as activation procedures. These include the following:
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fabien.lotte
- Posts: 112
- Joined: Sun Mar 14, 2010 12:58 pm
Re: Activation Paradigms for Mental Tasks based BCI
Hello,
there is no already made scenario in OpenViBE to do so, but you should be able to make such scenarios relatively easily. Indeed you could adapt the Graz visualization for you purpose, or, which may be even simpler (no C++ programming to do), use the display cue image box and the Lua stimulator box to design your own protocol and instructions. Typically, you would display different images to instruct the user to do different tasks (e.g., a 3D geometrical figure to instruct the user to perform mental rotation). You would thus use the Lua stimulator to generate the timing of the events (instructions, cues, breaks, etc.), and the display cue image box to display the resulting stimulus. I did that for a basic mental rotation experiment, and it worked very well.
Otherwise, If you are interested in various mental tasks, you can also have a look at Lisa Friedrich's work. She explored a lot those various mental tasks and the associated protocols, so this would give you an idea of which stimulations and instructions to use:
Friedrich, E. V., Scherer, R., & Neuper, C. (2012). The effect of distinct mental strategies on classification performance for brain–computer interfaces. International Journal of Psychophysiology, 84(1), 86-94.
Friedrich, E. V., Scherer, R., & Neuper, C. (2012). Stability of event-related (de-) synchronization during brain–computer interface-relevant mental tasks. Clinical Neurophysiology.
Friedrich, E. V., Scherer, R., & Neuper, C. (2013). Long-term evaluation of a 4-class imagery-based brain–computer interface. Clinical Neurophysiology.
I hope this helps,
Fabien
there is no already made scenario in OpenViBE to do so, but you should be able to make such scenarios relatively easily. Indeed you could adapt the Graz visualization for you purpose, or, which may be even simpler (no C++ programming to do), use the display cue image box and the Lua stimulator box to design your own protocol and instructions. Typically, you would display different images to instruct the user to do different tasks (e.g., a 3D geometrical figure to instruct the user to perform mental rotation). You would thus use the Lua stimulator to generate the timing of the events (instructions, cues, breaks, etc.), and the display cue image box to display the resulting stimulus. I did that for a basic mental rotation experiment, and it worked very well.
Otherwise, If you are interested in various mental tasks, you can also have a look at Lisa Friedrich's work. She explored a lot those various mental tasks and the associated protocols, so this would give you an idea of which stimulations and instructions to use:
Friedrich, E. V., Scherer, R., & Neuper, C. (2012). The effect of distinct mental strategies on classification performance for brain–computer interfaces. International Journal of Psychophysiology, 84(1), 86-94.
Friedrich, E. V., Scherer, R., & Neuper, C. (2012). Stability of event-related (de-) synchronization during brain–computer interface-relevant mental tasks. Clinical Neurophysiology.
Friedrich, E. V., Scherer, R., & Neuper, C. (2013). Long-term evaluation of a 4-class imagery-based brain–computer interface. Clinical Neurophysiology.
I hope this helps,
Fabien