Difference between revisions of "BioSignal Analysis"
From AIRWiki
| Line 26: | Line 26: | ||
<li> | <li> | ||
| − | ;[[Classification of EMG signals]] | + | ;[[Classification of EMG signals]] - Increase the effectiveness of active hand prostheses with EMG signals |
{{#ask: [[Category:Project]][[prjResTopic::Classification of EMG signals]]|?prjTitle = |sort=prjEnd|Order=desc|format=ul}} | {{#ask: [[Category:Project]][[prjResTopic::Classification of EMG signals]]|?prjTitle = |sort=prjEnd|Order=desc|format=ul}} | ||
</li> | </li> | ||
Revision as of 16:34, 29 July 2009
Analysis of biological signals to understand high-level features of people producing them.
Click here for a brief description of the Research Area, taken from the AIRLab website.
Projects
-
- Affective Computing - Analysis of biological signals to understand humans emotions
-
- Brain-Computer Interface - Analysis of EEG data to control or interact with artificial devices
- Characterization of the NIA signal (Characterization of the NIA signal From AIRWiki Jump to: navigation, search)
- Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI (Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI)
-
- Analysis of the Olfactory Signal - Analysis of the olfactory signal by an electronic nose
-
- Classification of EMG signals - Increase the effectiveness of active hand prostheses with EMG signals
Project Proposals
-
- Creation of new EEG training by introduction of noise (Creation of new EEG training by introduction of noise)
- Real-time removal of ocular artifact from EEG (Real-time removal of ocular artifact from EEG)
- Multimodal GUI for driving an autonomous wheelchair (Multimodal GUI for driving an autonomous wheelchair)
- Exploratory data analysis by genetic feature extraction (Exploratory data analysis by genetic feature extraction)
- Aperiodic visual stimulation in a VEP-based BCI (Aperiodic visual stimulation in a VEP-based BCI)
- Driving an autonomous wheelchair with a P300-based BCI (Driving an autonomous wheelchair with a P300-based BCI)
People
Useful Resources
- AirBAT is a repository containing software developed in projects related to this area. See instructions here.
