Difference between revisions of "Characterization of the NIA signal"
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|restopic=Affective Computing And BioSignals; Brain-Computer Interface; | |restopic=Affective Computing And BioSignals; Brain-Computer Interface; | ||
|start=2010/10/15 | |start=2010/10/15 | ||
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− | |status= | + | |status=Closed |
|level=Ms | |level=Ms | ||
|type=Thesis | |type=Thesis |
Latest revision as of 17:05, 3 October 2011
Characterization of the NIA signal From AIRWiki Jump to: navigation, search
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Short Description: | The NIA system by OCZ provides a very cheap way to get a signal that includes EOG, EMG and EEG. Aim of this project is to characterize it and investigate how could it be used as a substitute of a clinical EEG for non-clinical applications, and as one more signal for affective computing. |
Coordinator: | AndreaBonarini (andrea.bonarini@polimi.it) |
Tutor: | MatteoMatteucci (matteo.matteucci@polimi.it) |
Collaborator: | |
Students: | GiulioValenti (giovenale2@tin.it) |
Research Area: | BioSignal Analysis |
Research Topic: | Affective Computing And BioSignals, Brain-Computer Interface |
Start: | 2010/10/15 |
End: | 2011/10/2 |
Status: | Closed |
Level: | Ms |
Type: | Thesis |
This project borns from a direct collaboration with Andrew Junker, the designer of NIA [NIA] by OCZ.
A first application of NIA to control a wheelchair with shared autonomy was implemented by RobertoVandone