Difference between revisions of "BioSignal Analysis"
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Revision as of 17:56, 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
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- Affective Computing - Analysis of biological signals to understand human emotions
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- Brain-Computer Interface - Analysis of EEG data to control or interact with artificial devices
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- Analysis of the Olfactory Signal - Analysis of the olfactory signal by an electronic nose
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- Classification of EMG signals - Increase the effectiveness of active hand prostheses with EMG signals
Project Proposals
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- Multimodal GUI for driving an autonomous wheelchair
- Exploratory data analysis by genetic feature extraction
- Aperiodic visual stimulation in a VEP-based BCI
- Creation of new EEG training by introduction of noise
- Real-time removal of ocular artifact from EEG
- 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.
