Progression of EEG-BCI Classification Techniques: A Study
| Autor: | Rakesh Sengupta, Ravichander Janapati, P V Raja Shekar, Vishwas Dalal |
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| Rok vydání: | 2021 |
| Předmět: |
Signal processing
medicine.diagnostic_test InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g. HCI) business.industry Computer science Usability Electroencephalography Pipeline (software) Field (computer science) ComputingMethodologies_PATTERNRECOGNITION InformationSystems_MODELSANDPRINCIPLES Neuroimaging Human–computer interaction medicine business Brain–computer interface |
| Zdroj: | Inventive Systems and Control ISBN: 9789811613944 |
| Popis: | The introduction of various neuroimaging methods, opened the doors to the field of brain–computer interfaces (BCI). Suddenly, controlling the elements of the world with your brain seemed to be possible, and that is what happened, given a few decades. The field of BCI does not simply aim to create a futuristic world, but also help people with neurodegenerative disorders. EEG-based BCIs (EEG-BCI) are the most common of all the BCI out there today. EEG-BCI consists of the hardware to record data, the experimental paradigm, and the signal processing pipeline. In this review, we will discuss a specific part of the processing pipeline, i.e., the classification techniques. More specifically the advancements, complexity, accuracy, and sensitivity in classification technique. We will also discuss the issues with the current trends of EEG-BCI. |
| Databáze: | OpenAIRE |
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