Various signals used for device navigation in BCI production

With computer hardware development in recent years it has become easier than in earlier centuries to resolve problems in machine learning and computer vision. This has led to a widespread interest in EEG-based brain computer (EEG-BCI) interfaces, which can be used to support a number of support tech...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2020-12, Vol.981 (3), p.32003
Main Authors: Janapati, Ravichander, Dalal, Viswas, gupta, Rakesh sen, Anuradha, P, Raja Shekar, P V
Format: Article
Language:English
Subjects:
Applications programs
Computer vision
EEG-BCI
Human-computer interface
Interface design, signals, multiple sclerosis, amyotrophic
Machine learning
Multiple sclerosis
New technology
Virtual environments
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Summary:With computer hardware development in recent years it has become easier than in earlier centuries to resolve problems in machine learning and computer vision. This has led to a widespread interest in EEG-based brain computer (EEG-BCI) interfaces, which can be used to support a number of support technologies which benefit from the hands-free and personal thought translation in this area. However, most analysis is more practical than evidence-of-concept. Therefore, some technological advances are being developed to allow seriously weakened engine systems to be used temporally in a 2D or 3D virtual environment, such as multiple sclerosis, amyotrophic lateral sclerosis, New technologies and rising developments in automation technologies, In bringing new technology to a continuously diverse population, we are confronted with new challenges. However, in recent years no one has studied general patterns for web applications with different aspects of the BCI interface architecture. In this study, we examined how EEG-BCI research has developed over the past decade to explore the latest trends in EEG applications. In this article, we have researched the review of articles BCI articles for each signals and functionality.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/981/3/032003