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- W3195719912 abstract "In the last few decades, Brain-Computer Interface (BCI) research has focused predominantly on clinical applications, notably to enable severely disabled people to interact with the environment. However, recent studies rely mostly on the use of non-invasive electroencephalographic (EEG) devices, suggesting that BCI might be ready to be used outside laboratories. In particular, Industry 4.0 is a rapidly evolving sector that aims to restructure traditional methods by deploying digital tools and cyber-physical systems. BCI-based solutions are attracting increasing attention in this field to support industrial performance by optimizing the cognitive load of industrial operators, facilitating human-robot interactions, and make operations in critical conditions more secure. Although these advancements seem promising, numerous aspects must be considered before developing any operational solutions. Indeed, the development of novel applications outside optimal laboratory conditions raises many challenges. In the current study, we carried out a detailed literature review to investigate the main challenges and present criteria relevant to the future deployment of BCI applications for Industry 4.0." @default.
- W3195719912 created "2021-08-30" @default.
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- W3195719912 date "2021-08-13" @default.
- W3195719912 modified "2023-09-26" @default.
- W3195719912 title "Toward EEG-Based BCI Applications for Industry 4.0: Challenges and Possible Applications" @default.
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- W3195719912 doi "https://doi.org/10.3389/fnhum.2021.705064" @default.
- W3195719912 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8414547" @default.
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