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; | ||
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|status=Closed | |status=Closed | ||
|level=Ms | |level=Ms | ||
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
