Difference between revisions of "Recognition of the user's focusing on the stimulation matrix"
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|title=Recognition of the user's focusing on the stimulation matrix | |title=Recognition of the user's focusing on the stimulation matrix | ||
|image=B_p300_speller.jpg | |image=B_p300_speller.jpg | ||
+ | |short_descr=A P300-based Brain-Computer Interface (BCI) stimulates the user continuously, and the detection of a P300 designates the choice of the user. When the user is not paying attention to the interface, false positives are likely. The objective of this work is to avoid this problem; the analysis of the electroencephalogram (EEG) over the visual cortex (and possibly an analysis of P300s or of other biosignals) should tell when the user is looking at the interface | ||
+ | |coordinator=MatteoMatteucci | ||
+ | |tutor=MatteoMatteucci | ||
+ | |students=LeonardoVolpe; | ||
+ | |resarea=BioSignal Analysis | ||
+ | |restopic=Brain-Computer Interface | ||
+ | |start=2009/10/01 | ||
+ | |status=Closed | ||
+ | |level=Ms | ||
+ | |type=Thesis | ||
|description=A P300-based Brain-Computer Interface (BCI) stimulates the user continuously, and the detection of a P300 designates the choice of the user. When the user is not paying attention to the interface, false positives are likely. The objective of this work is to avoid this problem; the analysis of the electroencephalogram (EEG) over the visual cortex (and possibly an analysis of P300s or of other biosignals) should tell when the user is looking at the interface | |description=A P300-based Brain-Computer Interface (BCI) stimulates the user continuously, and the detection of a P300 designates the choice of the user. When the user is not paying attention to the interface, false positives are likely. The objective of this work is to avoid this problem; the analysis of the electroencephalogram (EEG) over the visual cortex (and possibly an analysis of P300s or of other biosignals) should tell when the user is looking at the interface | ||
*E. Donchin, K.M. Spencer, R. Wijesinghe. ''The Mental Prosthesis: Assessing the Speed of a P300-Based Brain-Computer Interface'' (http://www.cs.cmu.edu/~tanja/BCI/P300Speed_2000.pdf) | *E. Donchin, K.M. Spencer, R. Wijesinghe. ''The Mental Prosthesis: Assessing the Speed of a P300-Based Brain-Computer Interface'' (http://www.cs.cmu.edu/~tanja/BCI/P300Speed_2000.pdf) | ||
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Latest revision as of 13:50, 28 December 2011
Recognition of the user's focusing on the stimulation matrix
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Short Description: | A P300-based Brain-Computer Interface (BCI) stimulates the user continuously, and the detection of a P300 designates the choice of the user. When the user is not paying attention to the interface, false positives are likely. The objective of this work is to avoid this problem; the analysis of the electroencephalogram (EEG) over the visual cortex (and possibly an analysis of P300s or of other biosignals) should tell when the user is looking at the interface |
Coordinator: | MatteoMatteucci (matteo.matteucci@polimi.it) |
Tutor: | MatteoMatteucci (matteo.matteucci@polimi.it) |
Collaborator: | |
Students: | LeonardoVolpe (leonardo.volpe@mail.polimi.it) |
Research Area: | BioSignal Analysis |
Research Topic: | Brain-Computer Interface |
Start: | 2009/10/01 |
Status: | Closed |
Level: | Ms |
Type: | Thesis |
- Tools and instruments
- Matlab, BCI2000, C++
- EEG system
- Bibliography
- E. Donchin, K.M. Spencer, R. Wijesinghe. The Mental Prosthesis: Assessing the Speed of a P300-Based Brain-Computer Interface [1]