Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/2D395FB8-27A4-4145-A8FC-7E1B43E58325 | ||
| Year | 2022 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Nikolaos Zacharioudakis, "A Low cost EEG SSVEP-based Brain Computer Ιnterface for navigation applications", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2022 https://doi.org/10.26233/heallink.tuc.91721 | ||
| Appears in Collections |
There has been an increase in the number of studies lately focusing on Brain ComputerInterface(BCI) systems and non-invasive scalp Electroencephalography (EEG) measurement, withSteadyState Visual Evoked Potential (SSVEP) playing a significant role due to its higher InformationTransfer Rate (ITR) and signal-to-noise ratio, as well as its minimal training requirements.TheSSVEPs can be acquired in the occipital and parietal lobes, but selecting different EEGchannelcombinations and adapting data length to each subject specifics promises better results.Thepresent study aims to improve further existing systems, relying on SSVEPs, with anequallyefficientand accurate one, which is more cost-effective thus offering a solution to a serious problemforthose facing mobility disabilities or are quadriplegic and are not visually impaired. Moreover,thepossibility of replacing wet electrodes with dry ones is being studied. One of theobjectivestherefore, is to offer the opportunity for those with limited or no mobility to becomemobileandself-reliant in their daily life. As a proof of principle, a robotic car equipped withavideocapturingdevice was used, with the potential to be replaced by a wheelchair in the future. Inthisstudy,data were collected using two types of electrodes, wet and dry, with the latter beingmoresensitive to noise. Nonetheless, using dedicated signal processing techniques andmorespecificallyCanonical Correlation Analysis (CCA) one can increase the accuracy for SSVEP detection.Finally,the main target of this study is to design a practical BCI system focusing on low-cost hardwareandsoftware, ease to use, and robust with increased performance.
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